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<html lang="en">
<head>
<meta charset="UTF-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1.0"/>
<title>Matrix Voxel β Architecture Spec</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=Orbitron:wght@400;600;700;900&family=DM+Mono:ital,wght@0,300;0,400;0,500;1,300&family=Barlow+Condensed:wght@300;400;600;700;900&display=swap" rel="stylesheet">
<style>
:root {
--bg: #06080a;
--bg2: #090c10;
--panel: #0b1018;
--border: #14202e;
--border2: #1c2d40;
--amber: #f5a623;
--amber2: #ffcc5c;
--amber-dim: rgba(245,166,35,0.08);
--blue: #1e90ff;
--blue-dim: rgba(30,144,255,0.08);
--teal: #00d4aa;
--red: #ff4757;
--green: #2ed573;
--purple: #a855f7;
--text: #8fa8c0;
--text-bright: #c8dce8;
--white: #eaf2f8;
--atlas: #f5a623;
--forge: #ff6b35;
--cast: #00d4aa;
--lens: #7b8fff;
--prime: #a855f7;
}
* { box-sizing: border-box; margin: 0; padding: 0; }
html { scroll-behavior: smooth; }
body {
background: var(--bg);
font-family: 'DM Mono', monospace;
color: var(--text);
overflow-x: hidden;
cursor: crosshair;
}
/* ββ Blueprint grid bg ββ */
body::before {
content: '';
position: fixed;
inset: 0;
background-image:
linear-gradient(rgba(245,166,35,0.025) 1px, transparent 1px),
linear-gradient(90deg, rgba(245,166,35,0.025) 1px, transparent 1px),
linear-gradient(rgba(245,166,35,0.008) 1px, transparent 1px),
linear-gradient(90deg, rgba(245,166,35,0.008) 1px, transparent 1px);
background-size: 80px 80px, 80px 80px, 16px 16px, 16px 16px;
pointer-events: none;
z-index: 0;
}
/* ββ Scanline overlay ββ */
body::after {
content: '';
position: fixed;
inset: 0;
background: repeating-linear-gradient(
0deg,
transparent,
transparent 2px,
rgba(0,0,0,0.08) 2px,
rgba(0,0,0,0.08) 4px
);
pointer-events: none;
z-index: 0;
}
.wrap {
position: relative;
z-index: 1;
max-width: 1280px;
margin: 0 auto;
padding: 0 40px 120px;
}
/* βββββββββββββββ HERO βββββββββββββββ */
.hero {
min-height: 100vh;
display: flex;
flex-direction: column;
justify-content: center;
align-items: flex-start;
padding: 80px 0 60px;
position: relative;
}
/* Rotating wireframe cube */
.cube-wrap {
position: absolute;
right: -40px;
top: 50%;
transform: translateY(-50%);
width: 520px;
height: 520px;
opacity: 0.18;
}
.cube-svg {
width: 100%;
height: 100%;
animation: rotateCube 20s linear infinite;
transform-origin: center center;
}
@keyframes rotateCube {
0% { transform: rotateY(0deg) rotateX(15deg); }
100% { transform: rotateY(360deg) rotateX(15deg); }
}
.cube-svg line {
stroke: var(--amber);
stroke-width: 1;
}
.hero-eyebrow {
font-family: 'DM Mono', monospace;
font-size: 10px;
color: var(--amber);
letter-spacing: 6px;
text-transform: uppercase;
margin-bottom: 24px;
display: flex;
align-items: center;
gap: 12px;
}
.hero-eyebrow::before {
content: '';
display: block;
width: 40px;
height: 1px;
background: var(--amber);
}
.hero-title {
font-family: 'Orbitron', monospace;
font-size: clamp(56px, 8vw, 112px);
font-weight: 900;
line-height: 0.9;
letter-spacing: -2px;
margin-bottom: 8px;
}
.hero-title .matrix {
color: var(--border2);
display: block;
font-size: 0.45em;
letter-spacing: 8px;
font-weight: 400;
margin-bottom: 4px;
}
.hero-title .voxel {
background: linear-gradient(135deg, var(--amber) 0%, var(--amber2) 50%, var(--forge) 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
display: block;
filter: drop-shadow(0 0 40px rgba(245,166,35,0.3));
}
.hero-sub {
font-family: 'Barlow Condensed', sans-serif;
font-size: 16px;
color: var(--text);
letter-spacing: 3px;
margin-bottom: 48px;
font-weight: 300;
text-transform: uppercase;
}
.hero-tags {
display: flex;
flex-wrap: wrap;
gap: 8px;
margin-bottom: 56px;
max-width: 700px;
}
.tag {
font-family: 'DM Mono', monospace;
font-size: 9px;
letter-spacing: 2px;
padding: 5px 14px;
border: 1px solid var(--border2);
color: var(--text);
text-transform: uppercase;
}
.tag.a { border-color: var(--amber); color: var(--amber); background: var(--amber-dim); }
.tag.b { border-color: var(--blue); color: var(--blue); background: var(--blue-dim); }
.tag.g { border-color: var(--green); color: var(--green); background: rgba(46,213,115,0.06); }
.tag.p { border-color: var(--purple); color: var(--purple); background: rgba(168,85,247,0.06); }
/* Scroll indicator */
.scroll-hint {
display: flex;
align-items: center;
gap: 12px;
font-size: 9px;
color: var(--border2);
letter-spacing: 3px;
animation: pulse 2s ease-in-out infinite;
}
.scroll-hint::after {
content: 'β';
font-size: 14px;
animation: bounce 1.5s ease-in-out infinite;
}
@keyframes bounce { 0%,100%{transform:translateY(0)} 50%{transform:translateY(6px)} }
@keyframes pulse { 0%,100%{opacity:0.4} 50%{opacity:1} }
/* Hero bottom rule */
.hero-rule {
width: 100%;
height: 1px;
background: linear-gradient(90deg, var(--amber), var(--border), transparent);
margin-top: 60px;
}
/* βββββββββββββββ SECTION SYSTEM βββββββββββββββ */
.section {
margin-top: 100px;
opacity: 0;
transform: translateY(30px);
transition: opacity 0.7s ease, transform 0.7s ease;
}
.section.visible {
opacity: 1;
transform: translateY(0);
}
.section-header {
display: flex;
align-items: baseline;
gap: 20px;
margin-bottom: 36px;
padding-bottom: 16px;
border-bottom: 1px solid var(--border);
position: relative;
}
.section-header::after {
content: '';
position: absolute;
bottom: -1px;
left: 0;
width: 80px;
height: 1px;
background: var(--amber);
}
.section-num {
font-family: 'Orbitron', monospace;
font-size: 11px;
color: var(--border2);
letter-spacing: 3px;
}
.section-title {
font-family: 'Barlow Condensed', sans-serif;
font-size: 32px;
font-weight: 700;
color: var(--white);
letter-spacing: 1px;
text-transform: uppercase;
}
/* βββββββββββββββ MODEL FAMILY TABLE βββββββββββββββ */
.model-grid {
display: grid;
grid-template-columns: repeat(5, 1fr);
gap: 2px;
}
.model-card {
background: var(--panel);
border: 1px solid var(--border);
padding: 0;
position: relative;
overflow: hidden;
transition: transform 0.2s, border-color 0.2s;
}
.model-card:hover {
transform: translateY(-4px);
z-index: 2;
}
.model-card-top {
height: 4px;
}
.mc-atlas .model-card-top { background: var(--atlas); }
.mc-forge .model-card-top { background: var(--forge); }
.mc-cast .model-card-top { background: var(--cast); }
.mc-lens .model-card-top { background: var(--lens); }
.mc-prime .model-card-top { background: var(--prime); }
.mc-atlas:hover { border-color: var(--atlas); }
.mc-forge:hover { border-color: var(--forge); }
.mc-cast:hover { border-color: var(--cast); }
.mc-lens:hover { border-color: var(--lens); }
.mc-prime:hover { border-color: var(--prime); }
.model-card-body { padding: 20px; }
.mc-icon { font-size: 28px; margin-bottom: 12px; }
.mc-name {
font-family: 'Orbitron', monospace;
font-size: 13px;
font-weight: 700;
color: var(--white);
margin-bottom: 4px;
letter-spacing: 1px;
}
.mc-atlas .mc-name { color: var(--atlas); }
.mc-forge .mc-name { color: var(--forge); }
.mc-cast .mc-name { color: var(--cast); }
.mc-lens .mc-name { color: var(--lens); }
.mc-prime .mc-name { color: var(--prime); }
.mc-task {
font-size: 10px;
color: var(--text);
line-height: 1.6;
margin-bottom: 14px;
}
.mc-formats {
display: flex;
flex-direction: column;
gap: 4px;
}
.mc-fmt {
font-size: 9px;
letter-spacing: 1px;
color: var(--text);
padding: 3px 8px;
background: rgba(255,255,255,0.03);
border-left: 2px solid var(--border2);
}
.mc-atlas .mc-fmt { border-left-color: rgba(245,166,35,0.4); }
.mc-forge .mc-fmt { border-left-color: rgba(255,107,53,0.4); }
.mc-cast .mc-fmt { border-left-color: rgba(0,212,170,0.4); }
.mc-lens .mc-fmt { border-left-color: rgba(123,143,255,0.4); }
.mc-prime .mc-fmt { border-left-color: rgba(168,85,247,0.4); }
.mc-badges {
display: flex;
gap: 5px;
margin-top: 14px;
flex-wrap: wrap;
}
.mc-badge {
font-size: 8px;
letter-spacing: 1px;
padding: 2px 7px;
border: 1px solid;
text-transform: uppercase;
}
.badge-open { border-color: var(--green); color: var(--green); }
.badge-closed { border-color: var(--purple); color: var(--purple); }
.badge-planned { border-color: var(--amber); color: var(--amber); }
/* βββββββββββββββ INPUT MODALITIES βββββββββββββββ */
.input-grid {
display: grid;
grid-template-columns: repeat(5, 1fr);
gap: 2px;
}
.input-card {
background: var(--panel);
border: 1px solid var(--border);
padding: 24px 20px;
position: relative;
transition: border-color 0.2s;
}
.input-card:hover { border-color: var(--amber); }
.input-icon { font-size: 32px; margin-bottom: 14px; }
.input-name {
font-family: 'Barlow Condensed', sans-serif;
font-size: 18px;
font-weight: 700;
color: var(--white);
letter-spacing: 1px;
margin-bottom: 8px;
text-transform: uppercase;
}
.input-enc {
font-size: 9px;
color: var(--amber);
letter-spacing: 1px;
margin-bottom: 10px;
}
.input-desc {
font-size: 10px;
color: var(--text);
line-height: 1.7;
}
/* Arrow between inputs */
.input-grid-wrap {
position: relative;
}
.fusion-arrow {
text-align: center;
padding: 20px 0;
font-size: 11px;
color: var(--amber);
letter-spacing: 4px;
display: flex;
align-items: center;
justify-content: center;
gap: 16px;
}
.fusion-arrow::before,
.fusion-arrow::after {
content: '';
flex: 1;
height: 1px;
background: linear-gradient(90deg, transparent, var(--amber));
}
.fusion-arrow::after {
background: linear-gradient(90deg, var(--amber), transparent);
}
.fusion-box {
background: linear-gradient(135deg, rgba(245,166,35,0.1), rgba(255,107,53,0.05));
border: 1px solid var(--amber);
padding: 20px 28px;
text-align: center;
position: relative;
}
.fusion-box::before,
.fusion-box::after {
content: 'β';
position: absolute;
top: 50%;
transform: translateY(-50%);
color: var(--amber);
font-size: 10px;
}
.fusion-box::before { left: -6px; }
.fusion-box::after { right: -6px; }
.fusion-label {
font-family: 'Orbitron', monospace;
font-size: 11px;
color: var(--amber);
letter-spacing: 4px;
margin-bottom: 4px;
}
.fusion-desc { font-size: 10px; color: var(--text); letter-spacing: 1px; }
/* βββββββββββββββ ARCHITECTURE βββββββββββββββ */
.arch-diagram {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 32px;
align-items: start;
}
.arch-stack {
display: flex;
flex-direction: column;
gap: 2px;
}
.arch-layer {
padding: 14px 20px;
border: 1px solid var(--border);
background: var(--panel);
display: flex;
align-items: center;
gap: 14px;
position: relative;
transition: all 0.15s;
}
.arch-layer:hover {
border-color: var(--amber);
background: rgba(245,166,35,0.04);
padding-left: 28px;
}
.arch-layer-connector {
position: absolute;
left: 50%;
bottom: -2px;
width: 1px;
height: 2px;
background: var(--amber);
z-index: 1;
}
.arch-dot {
width: 8px;
height: 8px;
border: 1px solid;
border-radius: 0;
transform: rotate(45deg);
flex-shrink: 0;
}
.arch-label {
font-size: 11px;
color: var(--text-bright);
letter-spacing: 0.5px;
flex: 1;
}
.arch-sub {
font-size: 9px;
color: var(--text);
margin-top: 2px;
letter-spacing: 0.5px;
}
.arch-param {
font-size: 9px;
color: var(--amber);
letter-spacing: 1px;
flex-shrink: 0;
}
.arch-layer.backbone { border-color: var(--amber); }
.arch-layer.backbone .arch-dot { border-color: var(--amber); background: rgba(245,166,35,0.3); }
.arch-layer.decoder { }
.arch-layer.decoder .arch-dot { border-color: var(--blue); }
.arch-layer.input .arch-dot { border-color: var(--teal); }
.arch-layer.fuse .arch-dot { border-color: var(--amber2); background: rgba(255,204,92,0.2); }
.arch-aside {
display: flex;
flex-direction: column;
gap: 16px;
}
.arch-stat-box {
background: var(--panel);
border: 1px solid var(--border);
padding: 20px;
}
.asb-label {
font-family: 'DM Mono', monospace;
font-size: 9px;
color: var(--amber);
letter-spacing: 3px;
margin-bottom: 12px;
}
.asb-row {
display: flex;
justify-content: space-between;
padding: 7px 0;
border-bottom: 1px solid var(--border);
font-size: 10px;
}
.asb-row:last-child { border-bottom: none; }
.asb-k { color: var(--text); }
.asb-v { color: var(--white); font-weight: 500; }
.asb-v.amber { color: var(--amber); }
.asb-v.green { color: var(--green); }
/* βββββββββββββββ DECODER HEADS βββββββββββββββ */
.decoder-tabs {
display: flex;
gap: 2px;
margin-bottom: 2px;
}
.dtab {
padding: 10px 24px;
font-family: 'DM Mono', monospace;
font-size: 10px;
letter-spacing: 2px;
cursor: pointer;
border: 1px solid var(--border);
background: var(--panel);
color: var(--text);
transition: all 0.15s;
text-transform: uppercase;
}
.dtab:hover { color: var(--white); }
.dtab.active-atlas { border-color: var(--atlas); color: var(--atlas); background: rgba(245,166,35,0.06); }
.dtab.active-forge { border-color: var(--forge); color: var(--forge); background: rgba(255,107,53,0.06); }
.dtab.active-cast { border-color: var(--cast); color: var(--cast); background: rgba(0,212,170,0.06); }
.dtab.active-lens { border-color: var(--lens); color: var(--lens); background: rgba(123,143,255,0.06); }
.decoder-panel {
display: none;
background: var(--panel);
border: 1px solid var(--border);
padding: 32px;
}
.decoder-panel.active { display: grid; grid-template-columns: 1fr 1fr; gap: 32px; }
.dp-title {
font-family: 'Barlow Condensed', sans-serif;
font-size: 26px;
font-weight: 700;
text-transform: uppercase;
letter-spacing: 2px;
margin-bottom: 8px;
}
.dp-title.atlas { color: var(--atlas); }
.dp-title.forge { color: var(--forge); }
.dp-title.cast { color: var(--cast); }
.dp-title.lens { color: var(--lens); }
.dp-task {
font-size: 11px;
color: var(--text);
line-height: 1.7;
margin-bottom: 20px;
}
.dp-outputs {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-bottom: 24px;
}
.dp-fmt {
font-size: 9px;
letter-spacing: 2px;
padding: 4px 12px;
border: 1px solid var(--border2);
color: var(--text);
text-transform: uppercase;
}
.dp-modules {
display: flex;
flex-direction: column;
gap: 8px;
}
.dp-module {
padding: 10px 14px;
border-left: 2px solid var(--border2);
background: rgba(255,255,255,0.02);
}
.dp-mod-name { font-size: 10px; color: var(--text-bright); margin-bottom: 3px; letter-spacing: 0.5px; }
.dp-mod-desc { font-size: 9px; color: var(--text); line-height: 1.6; }
.dp-stats {
display: flex;
flex-direction: column;
gap: 2px;
}
.dp-stat {
display: flex;
justify-content: space-between;
align-items: center;
padding: 10px 14px;
background: rgba(255,255,255,0.02);
border: 1px solid var(--border);
font-size: 10px;
}
.dp-stat-k { color: var(--text); }
.dp-stat-v { color: var(--white); font-family: 'Orbitron', monospace; font-size: 9px; }
/* Atlas border color */
.decoder-panel[data-model="atlas"] { border-top: 2px solid var(--atlas); }
.decoder-panel[data-model="forge"] { border-top: 2px solid var(--forge); }
.decoder-panel[data-model="cast"] { border-top: 2px solid var(--cast); }
.decoder-panel[data-model="lens"] { border-top: 2px solid var(--lens); }
/* βββββββββββββββ SHARED MODULES βββββββββββββββ */
.modules-grid {
display: grid;
grid-template-columns: repeat(5, 1fr);
gap: 2px;
}
.mod-card {
background: var(--panel);
border: 1px solid var(--border);
padding: 20px 16px;
position: relative;
transition: all 0.15s;
}
.mod-card:hover {
border-color: var(--amber);
background: var(--amber-dim);
}
.mod-num {
font-family: 'Orbitron', monospace;
font-size: 20px;
font-weight: 900;
color: var(--border2);
line-height: 1;
margin-bottom: 10px;
}
.mod-card:hover .mod-num { color: var(--amber); }
.mod-name {
font-size: 10px;
color: var(--text-bright);
letter-spacing: 0.5px;
margin-bottom: 8px;
line-height: 1.4;
font-weight: 500;
}
.mod-desc {
font-size: 9px;
color: var(--text);
line-height: 1.7;
}
/* βββββββββββββββ VRAM TABLE βββββββββββββββ */
.vram-grid {
display: grid;
grid-template-columns: repeat(5, 1fr);
gap: 2px;
}
.vram-card {
background: var(--panel);
border: 1px solid var(--border);
padding: 24px 20px;
}
.vc-name {
font-family: 'Orbitron', monospace;
font-size: 10px;
letter-spacing: 2px;
margin-bottom: 16px;
padding-bottom: 10px;
border-bottom: 1px solid var(--border);
}
.mc-atlas .vc-name { color: var(--atlas); }
.mc-forge .vc-name { color: var(--forge); }
.mc-cast .vc-name { color: var(--cast); }
.mc-lens .vc-name { color: var(--lens); }
.mc-prime .vc-name { color: var(--prime); }
.vc-row {
display: flex;
justify-content: space-between;
font-size: 10px;
padding: 6px 0;
border-bottom: 1px solid var(--border);
}
.vc-row:last-child { border-bottom: none; }
.vc-k { color: var(--text); }
.vc-v { color: var(--white); font-weight: 500; }
.vc-v.green { color: var(--green); }
/* βββββββββββββββ TRAINING βββββββββββββββ */
.training-phases {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 2px;
position: relative;
}
.training-phases::before {
content: '';
position: absolute;
top: 40px;
left: 12%;
right: 12%;
height: 1px;
background: linear-gradient(90deg, transparent, var(--amber), var(--amber), var(--amber), transparent);
z-index: 0;
}
.phase-card {
background: var(--panel);
border: 1px solid var(--border);
padding: 28px 20px;
position: relative;
z-index: 1;
transition: all 0.15s;
}
.phase-card:hover {
border-color: var(--amber);
transform: translateY(-3px);
}
.phase-num {
font-family: 'Orbitron', monospace;
font-size: 36px;
font-weight: 900;
color: var(--border2);
line-height: 1;
margin-bottom: 12px;
transition: color 0.15s;
}
.phase-card:hover .phase-num { color: var(--amber); }
.phase-title {
font-family: 'Barlow Condensed', sans-serif;
font-size: 18px;
font-weight: 700;
color: var(--white);
letter-spacing: 1px;
text-transform: uppercase;
margin-bottom: 10px;
}
.phase-steps {
font-size: 10px;
color: var(--text);
line-height: 1.8;
}
.phase-steps li {
list-style: none;
padding-left: 14px;
position: relative;
margin-bottom: 4px;
}
.phase-steps li::before {
content: 'β';
position: absolute;
left: 0;
color: var(--amber);
font-size: 8px;
}
/* βββββββββββββββ PRIME βββββββββββββββ */
.prime-panel {
background: var(--panel);
border: 1px solid var(--purple);
position: relative;
overflow: hidden;
}
.prime-panel::before {
content: '';
position: absolute;
top: 0; left: 0; right: 0;
height: 3px;
background: linear-gradient(90deg, var(--prime), var(--blue), var(--prime));
background-size: 200% 100%;
animation: shimmer 3s linear infinite;
}
@keyframes shimmer { 0%{background-position:200% 0} 100%{background-position:-200% 0} }
.prime-inner { padding: 40px; }
.prime-header {
display: flex;
align-items: flex-start;
justify-content: space-between;
margin-bottom: 32px;
}
.prime-title {
font-family: 'Orbitron', monospace;
font-size: 36px;
font-weight: 900;
color: var(--prime);
filter: drop-shadow(0 0 20px rgba(168,85,247,0.4));
letter-spacing: 2px;
}
.prime-subtitle { font-size: 11px; color: var(--text); margin-top: 6px; letter-spacing: 2px; }
.prime-badges { display: flex; gap: 8px; flex-direction: column; align-items: flex-end; }
.prime-badge {
font-size: 9px;
letter-spacing: 2px;
padding: 4px 14px;
border: 1px solid;
text-transform: uppercase;
}
.pb-closed { border-color: var(--purple); color: var(--purple); background: rgba(168,85,247,0.08); }
.pb-api { border-color: var(--blue); color: var(--blue); background: rgba(30,144,255,0.08); }
.prime-modules {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 2px;
margin-bottom: 32px;
}
.pm-card {
background: rgba(168,85,247,0.04);
border: 1px solid rgba(168,85,247,0.2);
padding: 16px;
transition: all 0.15s;
}
.pm-card:hover {
background: rgba(168,85,247,0.08);
border-color: var(--purple);
}
.pm-name { font-size: 10px; color: var(--prime); margin-bottom: 5px; letter-spacing: 0.5px; }
.pm-desc { font-size: 9px; color: var(--text); line-height: 1.6; }
.prime-api {
background: #020608;
border: 1px solid var(--border);
padding: 24px 28px;
font-family: 'DM Mono', monospace;
font-size: 11px;
line-height: 2;
overflow-x: auto;
}
.kw { color: var(--prime); }
.str { color: #86efac; }
.key { color: var(--amber); }
.cm { color: var(--border2); }
.num { color: var(--lens); }
/* βββββββββββββββ TRAINING DATA βββββββββββββββ */
.data-table {
width: 100%;
border-collapse: collapse;
font-size: 11px;
}
.data-table th {
font-family: 'DM Mono', monospace;
font-size: 9px;
letter-spacing: 3px;
color: var(--amber);
text-transform: uppercase;
padding: 10px 16px;
border-bottom: 1px solid var(--amber);
text-align: left;
background: rgba(245,166,35,0.04);
}
.data-table td {
padding: 10px 16px;
border-bottom: 1px solid var(--border);
color: var(--text);
vertical-align: top;
}
.data-table tr:hover td { background: rgba(255,255,255,0.02); color: var(--text-bright); }
.td-dataset { color: var(--white); font-weight: 500; }
.td-size { color: var(--amber); font-family: 'Orbitron', monospace; font-size: 9px; }
.td-used { display: flex; gap: 4px; flex-wrap: wrap; }
.td-chip {
font-size: 8px;
letter-spacing: 1px;
padding: 2px 7px;
border: 1px solid var(--border2);
color: var(--text);
}
.chip-atlas { border-color: rgba(245,166,35,0.4); color: var(--atlas); }
.chip-forge { border-color: rgba(255,107,53,0.4); color: var(--forge); }
.chip-cast { border-color: rgba(0,212,170,0.4); color: var(--cast); }
.chip-lens { border-color: rgba(123,143,255,0.4); color: var(--lens); }
.chip-prime { border-color: rgba(168,85,247,0.4); color: var(--prime); }
/* βββββββββββββββ FOOTER βββββββββββββββ */
.footer {
margin-top: 100px;
padding: 32px 0;
border-top: 1px solid var(--border);
display: flex;
justify-content: space-between;
align-items: center;
flex-wrap: gap;
gap: 16px;
}
.footer-left {
font-size: 9px;
color: var(--border2);
letter-spacing: 3px;
line-height: 1.8;
}
.footer-models {
display: flex;
gap: 20px;
}
.fm-dot {
font-size: 9px;
letter-spacing: 2px;
display: flex;
align-items: center;
gap: 6px;
}
.fm-dot::before { content: 'β'; font-size: 7px; }
.fm-atlas::before { color: var(--atlas); }
.fm-forge::before { color: var(--forge); }
.fm-cast::before { color: var(--cast); }
.fm-lens::before { color: var(--lens); }
.fm-prime::before { color: var(--prime); }
/* βββββββββββββββ SCROLLBAR βββββββββββββββ */
::-webkit-scrollbar { width: 4px; }
::-webkit-scrollbar-track { background: var(--bg); }
::-webkit-scrollbar-thumb { background: var(--border2); }
::-webkit-scrollbar-thumb:hover { background: var(--amber); }
/* βββββββββββββββ RESPONSIVE βββββββββββββββ */
@media (max-width: 1100px) {
.model-grid { grid-template-columns: repeat(3, 1fr); }
.vram-grid { grid-template-columns: repeat(3, 1fr); }
.arch-diagram { grid-template-columns: 1fr; }
.prime-modules { grid-template-columns: repeat(2, 1fr); }
}
@media (max-width: 800px) {
.wrap { padding: 0 20px 80px; }
.model-grid { grid-template-columns: 1fr 1fr; }
.input-grid { grid-template-columns: 1fr 1fr; }
.modules-grid { grid-template-columns: 1fr 1fr; }
.training-phases { grid-template-columns: 1fr 1fr; }
.training-phases::before { display: none; }
.decoder-panel.active { grid-template-columns: 1fr; }
.decoder-tabs { flex-wrap: wrap; }
.prime-modules { grid-template-columns: 1fr; }
.cube-wrap { display: none; }
}
</style>
</head>
<body>
<div class="wrap">
<!-- ββββββ HERO ββββββ -->
<div class="hero">
<!-- Wireframe cube SVG (CSS 3D simulated) -->
<div class="cube-wrap">
<svg class="cube-svg" viewBox="0 0 520 520" fill="none" xmlns="http://www.w3.org/2000/svg">
<!-- Outer cube -->
<line x1="130" y1="130" x2="390" y2="130"/>
<line x1="390" y1="130" x2="390" y2="390"/>
<line x1="390" y1="390" x2="130" y2="390"/>
<line x1="130" y1="390" x2="130" y2="130"/>
<!-- Inner cube (depth illusion) -->
<line x1="180" y1="180" x2="340" y2="180"/>
<line x1="340" y1="180" x2="340" y2="340"/>
<line x1="340" y1="340" x2="180" y2="340"/>
<line x1="180" y1="340" x2="180" y2="180"/>
<!-- Connectors -->
<line x1="130" y1="130" x2="180" y2="180" stroke-dasharray="4 4"/>
<line x1="390" y1="130" x2="340" y2="180" stroke-dasharray="4 4"/>
<line x1="390" y1="390" x2="340" y2="340" stroke-dasharray="4 4"/>
<line x1="130" y1="390" x2="180" y2="340" stroke-dasharray="4 4"/>
<!-- Diagonals -->
<line x1="130" y1="130" x2="390" y2="390" stroke-opacity="0.15"/>
<line x1="390" y1="130" x2="130" y2="390" stroke-opacity="0.15"/>
<!-- Cross hairs -->
<line x1="260" y1="80" x2="260" y2="440" stroke-opacity="0.1" stroke-dasharray="2 6"/>
<line x1="80" y1="260" x2="440" y2="260" stroke-opacity="0.1" stroke-dasharray="2 6"/>
<!-- Corner dots -->
<circle cx="130" cy="130" r="4" fill="#f5a623"/>
<circle cx="390" cy="130" r="4" fill="#f5a623"/>
<circle cx="390" cy="390" r="4" fill="#f5a623"/>
<circle cx="130" cy="390" r="4" fill="#f5a623"/>
<circle cx="180" cy="180" r="3" fill="#f5a623" fill-opacity="0.5"/>
<circle cx="340" cy="180" r="3" fill="#f5a623" fill-opacity="0.5"/>
<circle cx="340" cy="340" r="3" fill="#f5a623" fill-opacity="0.5"/>
<circle cx="180" cy="340" r="3" fill="#f5a623" fill-opacity="0.5"/>
<!-- Center -->
<circle cx="260" cy="260" r="6" fill="none" stroke="#f5a623" stroke-opacity="0.6"/>
<circle cx="260" cy="260" r="2" fill="#f5a623"/>
<!-- Measurement lines -->
<line x1="80" y1="130" x2="110" y2="130" stroke-opacity="0.3"/>
<line x1="80" y1="390" x2="110" y2="390" stroke-opacity="0.3"/>
<line x1="80" y1="130" x2="80" y2="390" stroke-opacity="0.3"/>
<line x1="130" y1="440" x2="130" y2="410" stroke-opacity="0.3"/>
<line x1="390" y1="440" x2="390" y2="410" stroke-opacity="0.3"/>
<line x1="130" y1="440" x2="390" y2="440" stroke-opacity="0.3"/>
</svg>
</div>
<div class="hero-eyebrow">MATRIX.CORP β 3D GENERATION SERIES</div>
<h1 class="hero-title">
<span class="matrix">MATRIX</span>
<span class="voxel">VOXEL</span>
</h1>
<p class="hero-sub">Flow Matching Β· Multi-Modal Input Β· Task-Specific Decoders Β· A100 40GB</p>
<div class="hero-tags">
<span class="tag a">5 Models</span>
<span class="tag a">Shared Backbone ~2.3B</span>
<span class="tag b">Flow Matching (DiT)</span>
<span class="tag b">Triplane Latent Space</span>
<span class="tag g">4 Open Source</span>
<span class="tag p">1 Closed Source (Prime)</span>
<span class="tag">Text + Image + Video + 3D Input</span>
<span class="tag">OBJ Β· GLB Β· STL Β· NeRF Β· 3DGS Β· USD</span>
<span class="tag">A100 40GB Target</span>
</div>
<div class="scroll-hint">SCROLL TO EXPLORE</div>
<div class="hero-rule"></div>
</div>
<!-- ββββββ SECTION 1 β MODEL FAMILY ββββββ -->
<div class="section" id="s1">
<div class="section-header">
<span class="section-num">01 β</span>
<span class="section-title">Model Family</span>
</div>
<div class="model-grid">
<!-- Atlas -->
<div class="model-card mc-atlas">
<div class="model-card-top"></div>
<div class="model-card-body">
<div class="mc-icon">πΊοΈ</div>
<div class="mc-name">Voxel Atlas</div>
<div class="mc-task">World & environment generation. Terrain, buildings, biomes, interiors.</div>
<div class="mc-formats">
<div class="mc-fmt">.vox β Voxel Grid</div>
<div class="mc-fmt">.obj β Scene</div>
<div class="mc-fmt">.usd β Stage</div>
</div>
<div class="mc-badges">
<span class="mc-badge badge-open">Open Source</span>
<span class="mc-badge badge-planned">Planned</span>
</div>
</div>
</div>
<!-- Forge -->
<div class="model-card mc-forge">
<div class="model-card-top"></div>
<div class="model-card-body">
<div class="mc-icon">βοΈ</div>
<div class="mc-name">Voxel Forge</div>
<div class="mc-task">Game-ready mesh & asset generation with PBR textures.</div>
<div class="mc-formats">
<div class="mc-fmt">.obj / .glb</div>
<div class="mc-fmt">.fbx β Game Engine</div>
<div class="mc-fmt">.usdz β Apple AR</div>
</div>
<div class="mc-badges">
<span class="mc-badge badge-open">Open Source</span>
<span class="mc-badge badge-planned">Planned</span>
</div>
</div>
</div>
<!-- Cast -->
<div class="model-card mc-cast">
<div class="model-card-top"></div>
<div class="model-card-body">
<div class="mc-icon">π¨οΈ</div>
<div class="mc-name">Voxel Cast</div>
<div class="mc-task">3D printable generation. Watertight, manifold, structurally valid.</div>
<div class="mc-formats">
<div class="mc-fmt">.stl β Universal</div>
<div class="mc-fmt">.step β CAD</div>
<div class="mc-fmt">.3mf β Modern</div>
</div>
<div class="mc-badges">
<span class="mc-badge badge-open">Open Source</span>
<span class="mc-badge badge-planned">Planned</span>
</div>
</div>
</div>
<!-- Lens -->
<div class="model-card mc-lens">
<div class="model-card-top"></div>
<div class="model-card-body">
<div class="mc-icon">π</div>
<div class="mc-name">Voxel Lens</div>
<div class="mc-task">NeRF & Gaussian Splatting. Photorealistic scenes for VR/AR & cinema.</div>
<div class="mc-formats">
<div class="mc-fmt">.ply β 3DGS</div>
<div class="mc-fmt">NeRF weights</div>
<div class="mc-fmt">.mp4 β Render</div>
</div>
<div class="mc-badges">
<span class="mc-badge badge-open">Open Source</span>
<span class="mc-badge badge-planned">Planned</span>
</div>
</div>
</div>
<!-- Prime -->
<div class="model-card mc-prime">
<div class="model-card-top"></div>
<div class="model-card-body">
<div class="mc-icon">β</div>
<div class="mc-name">Voxel Prime</div>
<div class="mc-task">All-in-one unified generation. All output types in a single API call.</div>
<div class="mc-formats">
<div class="mc-fmt">All formats</div>
<div class="mc-fmt">Pipeline mode</div>
<div class="mc-fmt">Style transfer</div>
</div>
<div class="mc-badges">
<span class="mc-badge badge-closed">Closed Source</span>
<span class="mc-badge badge-planned">Planned</span>
</div>
</div>
</div>
</div>
</div>
<!-- ββββββ SECTION 2 β INPUTS ββββββ -->
<div class="section" id="s2">
<div class="section-header">
<span class="section-num">02 β</span>
<span class="section-title">Input Modalities</span>
</div>
<div class="input-grid">
<div class="input-card">
<div class="input-icon">π¬</div>
<div class="input-name">Text</div>
<div class="input-enc">CLIP-ViT-L + T5-XXL</div>
<div class="input-desc">Natural language prompt. Primary conditioning signal. Supports detailed descriptions, style directives, material specs.</div>
</div>
<div class="input-card">
<div class="input-icon">πΌοΈ</div>
<div class="input-name">Image</div>
<div class="input-enc">DINOv2-L + Depth Encoder</div>
<div class="input-desc">Single reference image lifted to 3D. Infers geometry from visual cues, shading, perspective.</div>
</div>
<div class="input-card">
<div class="input-icon">π·</div>
<div class="input-name">Multi-View</div>
<div class="input-enc">Multi-View Transformer</div>
<div class="input-desc">2β12 images from different angles. Best geometry accuracy. Triangulates structure from multiple perspectives.</div>
</div>
<div class="input-card">
<div class="input-icon">π¬</div>
<div class="input-name">Video</div>
<div class="input-enc">Video-MAE + Temporal Pool</div>
<div class="input-desc">Extracts frames, infers 3D from camera motion. Enables dynamic / animated 3D scene generation (Lens).</div>
</div>
<div class="input-card">
<div class="input-icon">πΏ</div>
<div class="input-name">3D Model</div>
<div class="input-enc">PointNet++</div>
<div class="input-desc">Existing mesh or point cloud as conditioning. Enables retexturing, restyling, format conversion, remeshing.</div>
</div>
</div>
<div class="fusion-arrow">ALL INPUTS β CROSS-MODAL ATTENTION FUSION β 1024-DIM CONDITIONING VECTOR</div>
</div>
<!-- ββββββ SECTION 3 β ARCHITECTURE ββββββ -->
<div class="section" id="s3">
<div class="section-header">
<span class="section-num">03 β</span>
<span class="section-title">Core Architecture</span>
</div>
<div class="arch-diagram">
<div class="arch-stack">
<!-- Input encoders -->
<div class="arch-layer input">
<div class="arch-dot"></div>
<div><div class="arch-label">Text Encoder (T5-XXL + CLIP-ViT-L)</div><div class="arch-sub">β 1024-dim text embedding</div></div>
<div class="arch-param">~4.7B</div>
</div>
<div class="arch-layer input">
<div class="arch-dot"></div>
<div><div class="arch-label">Image / MultiView / Video / 3D Encoders</div><div class="arch-sub">DINOv2 Β· MultiViewTX Β· VideoMAE Β· PointNet++</div></div>
<div class="arch-param">~1.2B</div>
</div>
<!-- Fusion -->
<div class="arch-layer fuse" style="border-color:rgba(255,204,92,0.4); margin-top:2px;">
<div class="arch-dot"></div>
<div><div class="arch-label">Cross-Modal Conditioning Fusion</div><div class="arch-sub">Fuses all active input modalities β unified conditioning</div></div>
<div class="arch-param">Module 01</div>
</div>
<!-- Backbone -->
<div style="margin-top:2px;">
<div class="arch-layer backbone">
<div class="arch-dot"></div>
<div><div class="arch-label">Flow Matching DiT Backbone</div><div class="arch-sub">24 blocks Β· hidden 1536 Β· 24 heads Β· AdaLN-Zero Β· 3D RoPE</div></div>
<div class="arch-param">~2.3B</div>
</div>
<div class="arch-layer backbone" style="opacity:0.7">
<div class="arch-dot"></div>
<div><div class="arch-label">Triplane Latent Space</div><div class="arch-sub">3 Γ 256 Γ 256 Γ 32 channels Β· XY / XZ / YZ planes</div></div>
<div class="arch-param">SHARED</div>
</div>
</div>
<!-- Decoders -->
<div style="margin-top:2px; display:grid; grid-template-columns:1fr 1fr; gap:2px;">
<div class="arch-layer decoder" style="border-color:rgba(245,166,35,0.3)">
<div class="arch-dot" style="border-color:var(--atlas)"></div>
<div><div class="arch-label">Atlas Decoder</div><div class="arch-sub">Scene layout + voxelizer</div></div>
</div>
<div class="arch-layer decoder" style="border-color:rgba(255,107,53,0.3)">
<div class="arch-dot" style="border-color:var(--forge)"></div>
<div><div class="arch-label">Forge Decoder</div><div class="arch-sub">Occupancy + mesh refinement</div></div>
</div>
<div class="arch-layer decoder" style="border-color:rgba(0,212,170,0.3)">
<div class="arch-dot" style="border-color:var(--cast)"></div>
<div><div class="arch-label">Cast Decoder</div><div class="arch-sub">SDF β watertight mesh</div></div>
</div>
<div class="arch-layer decoder" style="border-color:rgba(123,143,255,0.3)">
<div class="arch-dot" style="border-color:var(--lens)"></div>
<div><div class="arch-label">Lens Decoder</div><div class="arch-sub">Gaussian param predictor</div></div>
</div>
</div>
</div>
<!-- Stats aside -->
<div class="arch-aside">
<div class="arch-stat-box">
<div class="asb-label">Flow Matching Config</div>
<div class="asb-row"><span class="asb-k">Method</span><span class="asb-v amber">Optimal Transport FM</span></div>
<div class="asb-row"><span class="asb-k">Inference Steps</span><span class="asb-v">20 β 50 NFE</span></div>
<div class="asb-row"><span class="asb-k">vs DDPM</span><span class="asb-v green">~50Γ faster sampling</span></div>
<div class="asb-row"><span class="asb-k">CFG Scale</span><span class="asb-v">5.0 β 10.0</span></div>
<div class="asb-row"><span class="asb-k">CFG Dropout</span><span class="asb-v">10% during train</span></div>
<div class="asb-row"><span class="asb-k">Scheduler</span><span class="asb-v">RF (Rectified Flow)</span></div>
</div>
<div class="arch-stat-box">
<div class="asb-label">Triplane Latent</div>
<div class="asb-row"><span class="asb-k">Planes</span><span class="asb-v">XY Β· XZ Β· YZ</span></div>
<div class="asb-row"><span class="asb-k">Resolution</span><span class="asb-v">256 Γ 256</span></div>
<div class="asb-row"><span class="asb-k">Channels</span><span class="asb-v">32 per plane</span></div>
<div class="asb-row"><span class="asb-k">Total values</span><span class="asb-v">~6M latents</span></div>
<div class="asb-row"><span class="asb-k">Point query</span><span class="asb-v">Project β 3 planes β sum</span></div>
</div>
<div class="arch-stat-box">
<div class="asb-label">Backbone Stats</div>
<div class="asb-row"><span class="asb-k">Architecture</span><span class="asb-v amber">DiT (Diffusion Transformer)</span></div>
<div class="asb-row"><span class="asb-k">Layers</span><span class="asb-v">24 transformer blocks</span></div>
<div class="asb-row"><span class="asb-k">Hidden dim</span><span class="asb-v">1536</span></div>
<div class="asb-row"><span class="asb-k">Attention heads</span><span class="asb-v">24</span></div>
<div class="asb-row"><span class="asb-k">Conditioning</span><span class="asb-v">AdaLN-Zero</span></div>
<div class="asb-row"><span class="asb-k">Parameters</span><span class="asb-v green">~2.3B</span></div>
</div>
</div>
</div>
</div>
<!-- ββββββ SECTION 4 β DECODER HEADS ββββββ -->
<div class="section" id="s4">
<div class="section-header">
<span class="section-num">04 β</span>
<span class="section-title">Task-Specific Decoder Heads</span>
</div>
<div class="decoder-tabs">
<div class="dtab active-atlas" onclick="showDecoder('atlas', this)">πΊοΈ Atlas</div>
<div class="dtab" onclick="showDecoder('forge', this)">βοΈ Forge</div>
<div class="dtab" onclick="showDecoder('cast', this)">π¨οΈ Cast</div>
<div class="dtab" onclick="showDecoder('lens', this)">π Lens</div>
</div>
<!-- Atlas -->
<div class="decoder-panel active" id="dp-atlas" data-model="atlas">
<div>
<div class="dp-title atlas">Voxel Atlas</div>
<div class="dp-task">World & environment generation. Generates complete 3D scenes β terrain, structures, vegetation, sky. Supports infinite world tiling with seamless chunk stitching and biome-aware generation across 8 biome types.</div>
<div class="dp-outputs">
<span class="dp-fmt">.vox</span><span class="dp-fmt">.obj scene</span><span class="dp-fmt">.usd stage</span>
</div>
<div class="dp-modules">
<div class="dp-module">
<div class="dp-mod-name">Scene Layout Transformer</div>
<div class="dp-mod-desc">6-layer transformer over 32Γ32 spatial grid. Divides space into semantic regions: terrain, structures, vegetation, sky, water.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Region-wise NeRF Decoder</div>
<div class="dp-mod-desc">Per-region MLP: 3D coords + triplane β density + RGB + semantic label. Marching cubes extraction per region.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Infinite World Tiling</div>
<div class="dp-mod-desc">Generates seamless adjacent chunks. Tiling latent conditioning ensures consistent biome transitions at borders.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">LOD Generator</div>
<div class="dp-mod-desc">Auto-generates 4 levels of detail per scene object. Compatible with Unity/Unreal LOD systems.</div>
</div>
</div>
</div>
<div class="dp-stats">
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~400M</span></div>
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.7B</span></div>
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~22GB</span></div>
<div class="dp-stat"><span class="dp-stat-k">Small scene</span><span class="dp-stat-v">~8s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Large chunk (256Β³)</span><span class="dp-stat-v">~35s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Biome types</span><span class="dp-stat-v">8</span></div>
<div class="dp-stat"><span class="dp-stat-k">LOD levels</span><span class="dp-stat-v">4</span></div>
<div class="dp-stat"><span class="dp-stat-k">Max world resolution</span><span class="dp-stat-v">256Γ256Γ128 voxels</span></div>
</div>
</div>
<!-- Forge -->
<div class="decoder-panel" id="dp-forge" data-model="forge">
<div>
<div class="dp-title forge">Voxel Forge</div>
<div class="dp-task">Game-ready 3D asset generation with clean topology and full PBR texture maps. Supports characters, objects, props, vehicles, and architectural elements. Topology-optimized for animation rigging.</div>
<div class="dp-outputs">
<span class="dp-fmt">.obj + .mtl</span><span class="dp-fmt">.glb / .gltf</span><span class="dp-fmt">.fbx</span><span class="dp-fmt">.usdz</span>
</div>
<div class="dp-modules">
<div class="dp-module">
<div class="dp-mod-name">Occupancy Network + Marching Cubes</div>
<div class="dp-mod-desc">MLP: 3D point + triplane β occupancy probability. Differentiable marching cubes produces initial raw mesh.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Mesh Refinement GNN</div>
<div class="dp-mod-desc">Graph neural network over mesh vertices/edges. 8 message-passing rounds. Predicts vertex position offsets for clean quad-dominant topology.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">UV Unwrapper + Texture Diffusion</div>
<div class="dp-mod-desc">Learned UV unwrapping (SeamlessUV lineage). 2D flow matching in UV space generates albedo, roughness, metallic, normal maps at 1Kβ2K resolution.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Topology & Animation Optimizer</div>
<div class="dp-mod-desc">Enforces edge loops for rigging. Optional bilateral symmetry. Scale normalized to real-world meters.</div>
</div>
</div>
</div>
<div class="dp-stats">
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~350M</span></div>
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.65B</span></div>
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~21GB</span></div>
<div class="dp-stat"><span class="dp-stat-k">Low poly (β€5K tris)</span><span class="dp-stat-v">~6s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Mid poly (β€50K tris)</span><span class="dp-stat-v">~15s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">High poly (β€500K)</span><span class="dp-stat-v">~45s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Texture resolution</span><span class="dp-stat-v">1024 or 2048px</span></div>
<div class="dp-stat"><span class="dp-stat-k">LOD levels</span><span class="dp-stat-v">4 (100/50/25/10%)</span></div>
</div>
</div>
<!-- Cast -->
<div class="decoder-panel" id="dp-cast" data-model="cast">
<div>
<div class="dp-title cast">Voxel Cast</div>
<div class="dp-task">Physically valid 3D printable model generation. Every Cast output is guaranteed watertight, manifold, zero self-intersections, minimum wall thickness enforced. Supports FDM, SLA, and resin printing workflows.</div>
<div class="dp-outputs">
<span class="dp-fmt">.stl</span><span class="dp-fmt">.obj (watertight)</span><span class="dp-fmt">.step (CAD)</span><span class="dp-fmt">.3mf</span>
</div>
<div class="dp-modules">
<div class="dp-module">
<div class="dp-mod-name">SDF Decoder β Dual Marching Cubes</div>
<div class="dp-mod-desc">MLP outputs signed distance field. Dual marching cubes guarantees watertight topology β no holes by construction.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Printability Validator (hard constraints)</div>
<div class="dp-mod-desc">Wall thickness β₯ 1.2mm enforced. Overhang > 45Β° flagged. Manifold checker + auto-repair. All outputs pass validation before delivery.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Hollowing Engine</div>
<div class="dp-mod-desc">Auto-hollows solid objects with configurable wall thickness. Adds drain holes. Reduces material use by up to 80%.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Interlocking Part Splitter</div>
<div class="dp-mod-desc">Splits large objects into printable parts with generated snap-fit joints. Scale validates against Bambu, Prusa, Ender bed sizes.</div>
</div>
</div>
</div>
<div class="dp-stats">
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~200M</span></div>
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.5B</span></div>
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~20GB</span></div>
<div class="dp-stat"><span class="dp-stat-k">Guaranteed</span><span class="dp-stat-v">Watertight + Manifold</span></div>
<div class="dp-stat"><span class="dp-stat-k">Min wall thickness</span><span class="dp-stat-v">1.2mm</span></div>
<div class="dp-stat"><span class="dp-stat-k">Hollowing saving</span><span class="dp-stat-v">up to 80% material</span></div>
<div class="dp-stat"><span class="dp-stat-k">Supported printers</span><span class="dp-stat-v">Bambu Β· Prusa Β· Ender</span></div>
<div class="dp-stat"><span class="dp-stat-k">Non-manifold edges</span><span class="dp-stat-v">0 (guaranteed)</span></div>
</div>
</div>
<!-- Lens -->
<div class="decoder-panel" id="dp-lens" data-model="lens">
<div>
<div class="dp-title lens">Voxel Lens</div>
<div class="dp-task">Photorealistic 3D scene generation via Neural Radiance Fields and 3D Gaussian Splatting. Optimized for VR/AR visualization, cinematic rendering, and dynamic animated scenes from video input.</div>
<div class="dp-outputs">
<span class="dp-fmt">.ply (3DGS)</span><span class="dp-fmt">NeRF weights</span><span class="dp-fmt">.mp4 render</span><span class="dp-fmt">depth maps</span>
</div>
<div class="dp-modules">
<div class="dp-module">
<div class="dp-mod-name">Gaussian Parameter Decoder</div>
<div class="dp-mod-desc">Per-Gaussian: position (3) + rotation (4) + scale (3) + opacity (1) + SH coefficients (48). Targets 500Kβ3M Gaussians per scene. Adaptive densification + pruning.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">NeRF Branch (Instant-NGP style)</div>
<div class="dp-mod-desc">Hash-grid encoder + tiny MLP. Runs in parallel with 3DGS branch. Used for scenes requiring higher photometric accuracy.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Dynamic Scene Support</div>
<div class="dp-mod-desc">Temporal Gaussian sequences for animated scenes. Accepts video input β extracts motion β generates temporally consistent 3DGS.</div>
</div>
<div class="dp-module">
<div class="dp-mod-name">Compression Module</div>
<div class="dp-mod-desc">Reduces 3DGS file size by 60β80% with minimal quality loss. Critical for web and mobile delivery of Gaussian scenes.</div>
</div>
</div>
</div>
<div class="dp-stats">
<div class="dp-stat"><span class="dp-stat-k">Decoder params</span><span class="dp-stat-v">~500M</span></div>
<div class="dp-stat"><span class="dp-stat-k">Total model size</span><span class="dp-stat-v">~2.8B</span></div>
<div class="dp-stat"><span class="dp-stat-k">VRAM (BF16)</span><span class="dp-stat-v">~22GB</span></div>
<div class="dp-stat"><span class="dp-stat-k">Object-centric</span><span class="dp-stat-v">~12s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Indoor scene</span><span class="dp-stat-v">~40s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Outdoor scene</span><span class="dp-stat-v">~90s on A100</span></div>
<div class="dp-stat"><span class="dp-stat-k">Max Gaussians</span><span class="dp-stat-v">3M per scene</span></div>
<div class="dp-stat"><span class="dp-stat-k">File compression</span><span class="dp-stat-v">60β80% reduction</span></div>
</div>
</div>
</div>
<!-- ββββββ SECTION 5 β SHARED MODULES ββββββ -->
<div class="section" id="s5">
<div class="section-header">
<span class="section-num">05 β</span>
<span class="section-title">10 Shared Custom Modules</span>
</div>
<div class="modules-grid">
<div class="mod-card"><div class="mod-num">01</div><div class="mod-name">Cross-Modal Conditioning Fusion</div><div class="mod-desc">CrossModalAttention over all active input types. Unified 1024-dim conditioning vector fed to backbone.</div></div>
<div class="mod-card"><div class="mod-num">02</div><div class="mod-name">3D RoPE Encoder</div><div class="mod-desc">RoPE adapted for triplane 3D spatial positions. Encodes XYZ coordinates with rotary positional embeddings.</div></div>
<div class="mod-card"><div class="mod-num">03</div><div class="mod-name">Geometry Quality Scorer</div><div class="mod-desc">Rates generated geometry [0β1] before output. Flags low-quality generations for re-sampling at higher NFE.</div></div>
<div class="mod-card"><div class="mod-num">04</div><div class="mod-name">Semantic Label Head</div><div class="mod-desc">Per-voxel/vertex semantic class prediction: wall, floor, ceiling, tree, water, metal, glass, fabric, etc.</div></div>
<div class="mod-card"><div class="mod-num">05</div><div class="mod-name">Scale & Unit Manager</div><div class="mod-desc">Enforces consistent real-world scale. All outputs tagged with unit metadata (meters). Validates print scale.</div></div>
<div class="mod-card"><div class="mod-num">06</div><div class="mod-name">Material Property Head</div><div class="mod-desc">Predicts PBR properties: roughness, metallic, IOR, subsurface scattering. Compatible with Blender/UE material graphs.</div></div>
<div class="mod-card"><div class="mod-num">07</div><div class="mod-name">Confidence & Uncertainty Head</div><div class="mod-desc">Per-region generation confidence. Flags uncertain areas in output metadata. Drives re-sampling priority.</div></div>
<div class="mod-card"><div class="mod-num">08</div><div class="mod-name">Prompt Adherence Scorer</div><div class="mod-desc">CLIP-based similarity score: how well the 3D output matches the input text prompt. Exposed in API response.</div></div>
<div class="mod-card"><div class="mod-num">09</div><div class="mod-name">Multi-Resolution Decoder</div><div class="mod-desc">Coarse-to-fine generation: 64Β³ β 128Β³ β 256Β³. Each stage refines the previous. Enables fast previews at 64Β³.</div></div>
<div class="mod-card"><div class="mod-num">10</div><div class="mod-name">Style Embedding Module</div><div class="mod-desc">Encodes style reference images into conditioning vector. Transfers art style, material aesthetic, and visual language to 3D output.</div></div>
</div>
</div>
<!-- ββββββ SECTION 6 β VOXEL PRIME ββββββ -->
<div class="section" id="s6">
<div class="section-header">
<span class="section-num">06 β</span>
<span class="section-title">Voxel Prime β All-In-One</span>
</div>
<div class="prime-panel">
<div class="prime-inner">
<div class="prime-header">
<div>
<div class="prime-title">VOXEL PRIME</div>
<div class="prime-subtitle">CLOSED SOURCE Β· API ONLY Β· ALL DECODER HEADS Β· 6 EXCLUSIVE MODULES</div>
</div>
<div class="prime-badges">
<span class="prime-badge pb-closed">π£ Closed Source</span>
<span class="prime-badge pb-api">API Access Only</span>
</div>
</div>
<div class="prime-modules">
<div class="pm-card"><div class="pm-name">Cross-Task Consistency</div><div class="pm-desc">Ensures Atlas world + Forge assets + Lens scene all match visually when generated together in one call.</div></div>
<div class="pm-card"><div class="pm-name">Scene Population Engine</div><div class="pm-desc">Generates a world (Atlas) then auto-populates it with fitting assets (Forge). One prompt β full scene.</div></div>
<div class="pm-card"><div class="pm-name">Pipeline Orchestrator</div><div class="pm-desc">Chains Atlas β Forge β Cast β Lens in a single API request. Manages inter-model dependencies automatically.</div></div>
<div class="pm-card"><div class="pm-name">4Γ Texture Upscaler</div><div class="pm-desc">Photorealistic super-resolution on all generated textures. 512px base β 2048px final via flow matching in UV space.</div></div>
<div class="pm-card"><div class="pm-name">Style Transfer Module</div><div class="pm-desc">Apply artistic styles (Studio Ghibli, cyberpunk, brutalist, etc.) consistently across all output types in one generation.</div></div>
<div class="pm-card"><div class="pm-name">Iterative Refinement</div><div class="pm-desc">Text-guided editing of already-generated 3D content. "Make the roof taller" β re-runs only affected regions.</div></div>
</div>
<div class="prime-api">
<span class="cm">POST /v1/voxel/generate</span><br>
{<br>
<span class="key">"prompt"</span>: <span class="str">"A medieval castle on a cliff at sunset"</span>,<br>
<span class="key">"output_types"</span>: [<span class="str">"world"</span>, <span class="str">"mesh"</span>, <span class="str">"nerf"</span>],<br>
<span class="key">"inputs"</span>: {<br>
<span class="key">"image"</span>: <span class="str">"base64..."</span>, <span class="cm">// optional reference</span><br>
<span class="key">"video"</span>: <span class="str">"base64..."</span> <span class="cm">// optional for dynamic scenes</span><br>
},<br>
<span class="key">"settings"</span>: {<br>
<span class="key">"quality"</span>: <span class="str">"high"</span>, <span class="cm">// draft | standard | high</span><br>
<span class="key">"style"</span>: <span class="str">"realistic"</span>, <span class="cm">// realistic | stylized | low-poly | ...</span><br>
<span class="key">"scale_meters"</span>: <span class="num">100.0</span>,<br>
<span class="key">"populate_scene"</span>: <span class="kw">true</span> <span class="cm">// Atlas β auto-populate with Forge assets</span><br>
}<br>
}
</div>
</div>
</div>
</div>
<!-- ββββββ SECTION 7 β TRAINING DATA ββββββ -->
<div class="section" id="s7">
<div class="section-header">
<span class="section-num">07 β</span>
<span class="section-title">Training Data</span>
</div>
<table class="data-table">
<thead>
<tr><th>Dataset</th><th>Size</th><th>Content</th><th>Used by</th></tr>
</thead>
<tbody>
<tr><td class="td-dataset">Objaverse-XL</td><td class="td-size">10M+</td><td>Massive diverse 3D objects</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
<tr><td class="td-dataset">Objaverse</td><td class="td-size">800K+</td><td>Diverse annotated 3D assets</td><td class="td-used"><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
<tr><td class="td-dataset">ShapeNet</td><td class="td-size">55K</td><td>Common object categories</td><td class="td-used"><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span></td></tr>
<tr><td class="td-dataset">ScanNet / ScanNet++</td><td class="td-size">1.5K scenes</td><td>Indoor 3D scans (RGB-D)</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-lens">Lens</span></td></tr>
<tr><td class="td-dataset">KITTI / nuScenes</td><td class="td-size">40K frames</td><td>Outdoor driving 3D scenes</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-lens">Lens</span></td></tr>
<tr><td class="td-dataset">ABO (Amazon Berkeley)</td><td class="td-size">148K</td><td>Product meshes + materials</td><td class="td-used"><span class="td-chip chip-forge">Forge</span></td></tr>
<tr><td class="td-dataset">Thingiverse</td><td class="td-size">2M+</td><td>3D printable STL models</td><td class="td-used"><span class="td-chip chip-cast">Cast</span></td></tr>
<tr><td class="td-dataset">Polycam Scans</td><td class="td-size">~500K</td><td>Real-world 3DGS / NeRF captures</td><td class="td-used"><span class="td-chip chip-lens">Lens</span></td></tr>
<tr><td class="td-dataset">Synthetic Renders</td><td class="td-size">Generated</td><td>Multi-view renders of Objaverse</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
<tr><td class="td-dataset">Text-3D Pairs (synthetic)</td><td class="td-size">Generated</td><td>GPT-4o descriptions of Objaverse</td><td class="td-used"><span class="td-chip chip-atlas">Atlas</span><span class="td-chip chip-forge">Forge</span><span class="td-chip chip-cast">Cast</span><span class="td-chip chip-lens">Lens</span></td></tr>
</tbody>
</table>
</div>
<!-- ββββββ SECTION 8 β VRAM ββββββ -->
<div class="section" id="s8">
<div class="section-header">
<span class="section-num">08 β</span>
<span class="section-title">Model Sizes & VRAM</span>
</div>
<div class="vram-grid">
<div class="vram-card mc-atlas">
<div class="vc-name">VOXEL ATLAS</div>
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~400M</span></div>
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.7B</span></div>
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~22GB</span></div>
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~11GB</span></div>
</div>
<div class="vram-card mc-forge">
<div class="vc-name">VOXEL FORGE</div>
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~350M</span></div>
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.65B</span></div>
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~21GB</span></div>
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~11GB</span></div>
</div>
<div class="vram-card mc-cast">
<div class="vc-name">VOXEL CAST</div>
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~200M</span></div>
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.5B</span></div>
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~20GB</span></div>
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~10GB</span></div>
</div>
<div class="vram-card mc-lens">
<div class="vc-name">VOXEL LENS</div>
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
<div class="vc-row"><span class="vc-k">Decoder</span><span class="vc-v">~500M</span></div>
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~2.8B</span></div>
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~22GB</span></div>
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~11GB</span></div>
</div>
<div class="vram-card mc-prime">
<div class="vc-name">VOXEL PRIME</div>
<div class="vc-row"><span class="vc-k">Backbone</span><span class="vc-v">2.3B</span></div>
<div class="vc-row"><span class="vc-k">All Decoders</span><span class="vc-v">~1.4B</span></div>
<div class="vc-row"><span class="vc-k">Total</span><span class="vc-v">~3.7B</span></div>
<div class="vc-row"><span class="vc-k">BF16 VRAM</span><span class="vc-v">~30GB</span></div>
<div class="vc-row"><span class="vc-k">INT8 VRAM</span><span class="vc-v green">~15GB</span></div>
</div>
</div>
<div style="margin-top:12px; padding:12px 16px; border:1px solid var(--border); background:var(--panel); font-size:10px; color:var(--text);">
β¦ All specialist models (Atlas/Forge/Cast/Lens) fit A100 40GB in BF16 comfortably. Β· INT8 quantization brings all under 15GB β viable on consumer RTX 4090 (24GB). Β· Voxel Prime requires A100 40GB BF16 or 2Γ 4090 INT8.
</div>
</div>
<!-- ββββββ SECTION 9 β TRAINING ββββββ -->
<div class="section" id="s9">
<div class="section-header">
<span class="section-num">09 β</span>
<span class="section-title">Training Strategy</span>
</div>
<div class="training-phases">
<div class="phase-card">
<div class="phase-num">01</div>
<div class="phase-title">Backbone Pre-Training</div>
<ul class="phase-steps">
<li>Train shared DiT on Objaverse-XL triplane reconstructions</li>
<li>Text + single image conditioning only</li>
<li>Context: general 3D structure, no task specialization</li>
<li>~100K steps on A100 cluster</li>
</ul>
</div>
<div class="phase-card">
<div class="phase-num">02</div>
<div class="phase-title">Decoder Head Training</div>
<ul class="phase-steps">
<li>Freeze backbone, train each head independently</li>
<li>Atlas: ScanNet + synthetic world data</li>
<li>Forge: ShapeNet + Objaverse + textures</li>
<li>Cast: Thingiverse + watertight synthetic meshes</li>
<li>Lens: Polycam + synthetic multi-view renders</li>
<li>~50K steps each (parallel runs)</li>
</ul>
</div>
<div class="phase-card">
<div class="phase-num">03</div>
<div class="phase-title">Joint Fine-Tuning</div>
<ul class="phase-steps">
<li>Unfreeze backbone, full end-to-end per model</li>
<li>Add all input modalities (video, multi-view, point cloud)</li>
<li>Multi-resolution curriculum: 64Β³ β 128Β³ β 256Β³</li>
<li>~30K steps each</li>
</ul>
</div>
<div class="phase-card">
<div class="phase-num">04</div>
<div class="phase-title">Prime Training</div>
<ul class="phase-steps">
<li>Init from jointly fine-tuned backbone</li>
<li>All 4 decoder heads trained simultaneously</li>
<li>Cross-task consistency losses</li>
<li>Pipeline orchestrator + style transfer modules</li>
<li>~50K steps</li>
</ul>
</div>
</div>
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