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ppisp-scene2sim
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>PPISP on a Real 3-Camera Capture — Forenly AI Lab</title>
<meta name="description" content="Forenly AI Lab · Study 01 — NVIDIA's PPISP tested on a real 3-camera capture in our Scene→Sim pipeline. Drag to compare OFF vs ON (+9.5 dB PSNR)." />
<link rel="canonical" href="https://forenly.ai/lab-study/ppisp" />
<meta property="og:title" content="PPISP on a Real 3-Camera Capture — Forenly AI Lab" />
<meta property="og:description" content="Drag to compare PPISP OFF vs ON on a real 3-camera capture. +9.5 dB PSNR. Scene→Sim research for humanoid training." />
<meta property="og:type" content="article" />
<meta property="og:url" content="https://forenly.ai/lab-study/ppisp" />
<meta property="og:image" content="https://forenly.ai/lab-study/ppisp/ppisp-on.jpg" />
<link rel="icon" type="image/svg+xml" href="/assets/images/branding/logo.svg" />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet" />
<style>
  :root{
    --bg:#f9f7f2; --ink:#252b27; --muted:#7c8479; --border:#e7e2d8;
    --card:#ffffff; --secondary:#ecebe4;
    --off:#C4785A;      /* terracotta — PPISP OFF */
    --on:#6f8f3f;       /* leaf green — PPISP ON  */
    --on-soft:#909f83;
    --radius:0.75rem;
    --maxw:1080px;
  }
  *{box-sizing:border-box}
  html,body{margin:0}
  body{
    background:var(--bg); color:var(--ink);
    font-family:"Inter",system-ui,-apple-system,"Segoe UI",sans-serif;
    -webkit-font-smoothing:antialiased; line-height:1.6;
  }
  .wrap{max-width:var(--maxw); margin:0 auto; padding:0 24px}
  a{color:inherit}

  /* ── top bar ── */
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  .topbar .wrap{display:flex; align-items:center; justify-content:space-between; height:64px}
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  .topnav a:hover{color:var(--ink)}

  /* ── hero ── */
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  .eyebrow{
    font-size:12px; font-weight:700; letter-spacing:.16em; text-transform:uppercase;
    color:var(--muted); display:inline-flex; gap:10px; align-items:center;
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  .eyebrow .pip{width:6px;height:6px;border-radius:50%;background:var(--on)}
  h1{
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    font-weight:800; margin:.5em auto .3em; max-width:16ch; text-wrap:balance;
  }
  .lede{max-width:60ch; margin:0 auto; color:#4b524c; font-size:clamp(16px,2vw,18px)}

  /* ── comparison slider ── */
  .stage{margin:34px 0 10px}
  .compare{
    position:relative; width:100%; aspect-ratio:1186/1426; max-height:76vh;
    border-radius:var(--radius); overflow:hidden; user-select:none; touch-action:none;
    box-shadow:0 24px 60px -24px rgba(37,43,39,.35); border:1px solid var(--border);
    background:#ddd;
  }
  .compare img{position:absolute; inset:0; width:100%; height:100%; object-fit:cover; display:block; pointer-events:none}
  .compare .top{clip-path:inset(0 0 0 50%)}      /* ON revealed on the right */
  .tag{
    position:absolute; top:14px; z-index:4; font-size:12px; font-weight:800; letter-spacing:.04em;
    padding:6px 12px; border-radius:999px; color:#fff; text-transform:uppercase;
    box-shadow:0 4px 14px rgba(0,0,0,.18);
  }
  .tag.left{left:14px; background:var(--off)}
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  .grip svg{width:22px;height:22px;color:var(--ink)}
  .range{position:absolute; inset:0; z-index:6; width:100%; height:100%; margin:0; opacity:0; cursor:ew-resize}
  .range:focus-visible + .grip{outline:3px solid var(--on); outline-offset:3px}
  .hint{margin-top:12px; text-align:center; font-size:13px; color:var(--muted)}

  /* ── stats ── */
  .stats{display:grid; grid-template-columns:repeat(3,1fr); gap:14px; margin:30px 0 8px}
  .stat{background:var(--card); border:1px solid var(--border); border-radius:var(--radius); padding:20px 18px}
  .stat .n{font-size:30px; font-weight:800; letter-spacing:-.02em; font-variant-numeric:tabular-nums}
  .stat .n .u{font-size:15px; font-weight:700; color:var(--muted); margin-left:2px}
  .stat .l{font-size:12.5px; color:var(--muted); margin-top:4px; letter-spacing:.02em}
  .stat.hl .n{color:var(--on)}

  /* ── prose ── */
  section.block{padding:40px 0; border-top:1px solid var(--border)}
  .block h2{font-size:13px; letter-spacing:.14em; text-transform:uppercase; color:var(--muted); font-weight:700; margin:0 0 16px}
  .cols{display:grid; grid-template-columns:1fr 1fr; gap:32px}
  .cols p{margin:0 0 14px; max-width:62ch}
  .cols p:last-child{margin-bottom:0}
  strong{font-weight:700}
  .k{color:var(--off); font-weight:700}
  .g{color:var(--on); font-weight:700}
  .methods{display:flex; flex-wrap:wrap; gap:8px; margin-top:6px}
  .chip{font-size:12.5px; font-weight:600; padding:6px 11px; border-radius:999px; background:var(--secondary); color:#3f453f; border:1px solid var(--border)}
  .chip.active{background:var(--ink); color:#fff; border-color:var(--ink)}

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  .btn:hover{background:#a2b096}

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  footer{border-top:1px solid var(--border); margin-top:8px}
  footer .wrap{display:flex; align-items:center; justify-content:space-between; gap:16px; padding:22px 24px; flex-wrap:wrap}
  footer .muted{color:var(--muted); font-size:13px}
  footer a{color:var(--muted); text-decoration:none; font-size:13px; font-weight:600}
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  .brand .logo{width:44px;height:44px;object-fit:contain}
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  .wm small{font-weight:600;font-size:10.5px;letter-spacing:.13em;text-transform:uppercase;color:var(--muted);margin-top:3px}
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  .soc svg{width:17px;height:17px}
  .soc:hover{color:var(--ink);background:rgba(37,43,39,.06)}
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  .book:hover{background:#333b35}
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  @media (max-width:760px){.wm small{display:none}.book span.pulse{display:none}}

</style>
</head>
<body>

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    <div class="eyebrow"><span class="pip"></span>Forenly Lab · Study 01 · Scene→Sim</div>
    <h1>PPISP on a real 3-camera capture</h1>
    <p class="lede">NVIDIA just shipped PPISP. We put it through a clean ablation inside our Scene→Sim pipeline — same capture, same 30k iterations, one toggle. Drag to see the difference.</p>
  </header>

  <div class="stage">
    <div class="compare" id="compare">
      <img class="base" src="ppisp-off.jpg" alt="Reconstruction with PPISP off — hazy, washed-out blur" />
      <img class="top"  src="ppisp-on.jpg"  alt="Reconstruction with PPISP on — sharp and colour-correct" />
      <span class="tag left">PPISP off</span>
      <span class="tag right">PPISP on</span>
      <div class="handle" id="handle"></div>
      <div class="grip" id="grip" aria-hidden="true">
        <svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.4" stroke-linecap="round" stroke-linejoin="round"><path d="M9 6l-5 6 5 6M15 6l5 6-5 6"/></svg>
      </div>
      <input class="range" id="range" type="range" min="0" max="100" value="50"
             aria-label="Reveal PPISP on versus off" />
    </div>
    <p class="hint">Drag the handle — or focus it and use ← / → — to wipe between off and on.</p>
  </div>

  <div class="stats">
    <div class="stat hl"><div class="n">+9.5<span class="u">dB PSNR</span></div><div class="l">Reconstruction fidelity, on → off</div></div>
    <div class="stat"><div class="n">30k<span class="u">iters</span></div><div class="l">Identical training budget, both runs</div></div>
    <div class="stat"><div class="n">3<span class="u">cameras</span></div><div class="l">Real multi-view capture, one scene</div></div>
  </div>

  <section class="block">
    <h2>What you're looking at</h2>
    <div class="cols">
      <div>
        <p><strong>PPISP</strong> is NVIDIA's method for the photometric artifacts that wreck radiance-field and Gaussian-splatting reconstructions — the lighting and colour drift that turns a clean multi-camera capture into mush. It slots on top of existing pipelines and works across 3DGS, 3DGUT and NeRFs.</p>
        <p>We ran a single controlled ablation: the <em>same</em> capture and the <em>same</em> 30,000 training iterations, changing one thing — PPISP off versus on.</p>
      </div>
      <div>
        <p><span class="k">Off</span> → the scene collapses into a hazy, washed-out haze; the sculpture and water dissolve.</p>
        <p><span class="g">On</span> → edges hold, colour stays true, and the reconstruction lands <strong>+9.5&nbsp;dB PSNR</strong> higher — a large, plainly visible jump.</p>
        <p>Reconstruction methods benchmarked in this line of work:</p>
        <div class="methods">
          <span class="chip active">PPISP</span><span class="chip">3DGRUT</span><span class="chip">2DGS</span><span class="chip">GOF</span>
        </div>
      </div>
    </div>
  </section>

  <section class="block">
    <h2>Why it matters for Forenly</h2>
    <div class="cols">
      <div>
        <p>Our <strong>Scene→Sim</strong> pipeline turns real multi-camera captures into simulation-ready 3D scenes — the digital twins where humanoid robots learn to walk, navigate and manipulate before anything runs on hardware.</p>
      </div>
      <div>
        <p>In that pipeline, reconstruction fidelity <em>is</em> the training ground. A blurry scene is a broken one: geometry the robot can't trust and textures the policy can't read. So every dB of reconstruction quality is a better place to learn a skill — which is exactly why we test methods like PPISP the moment they land.</p>
      </div>
    </div>
  </section>

  <section class="block">
    <h2>Watch the toggle</h2>
    <div class="video">
      <iframe src="https://www.youtube-nocookie.com/embed/dETMEVHzBLM" title="PPISP on a Real 3-Camera Capture — OFF vs ON" loading="lazy" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
    </div>
  </section>

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    <h3>The Skill Layer for humanoid robots</h3>
    <p>Forenly AI turns real scenes into simulation where humanoids learn their skills — then transfers them onto the machine.</p>
    <a class="btn" href="https://forenly.ai/">Explore Forenly AI</a>
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