--- title: World Memory Deck emoji: 🧠 colorFrom: green colorTo: indigo sdk: static app_file: index.html pinned: false license: mit --- # World Memory — Presentation A reveal.js slide deck for **World Memory: Consistent Long-Video Generation via Knownness-Conditioned Diffusion Forcing** (working title, CoRL 2026). The deck walks through the full pipeline: - **Phase 1 — Offline caching:** posed video → persistent 3D `PointMemory` → reprojected `z_mem`, per-region `knownness k`, per-token 3D address `Xtok`, and a compact memory slot bank. - **Phase 2 — Model:** a frozen Wan Video DiT with four small zero-init hooks (per-token noise from `k`, 3D positional encoding, geometry-keyed cross-attention with Rope3D, confidence-gated shortcut). - **Phase 3 — Training:** anchor-mixture Diffusion Forcing — repair memory, never copy it; the target is always the real frame. - **Phase 4 — Inference & rollout:** knownness sets a per-token start-noise level; known regions reuse-and-repair, unknown regions generate, and new frames are written back into the world memory for consistent revisits. ## View Open the Space — `index.html` renders the deck directly. Navigate with arrow keys, press F for fullscreen, S for speaker notes, O for the slide overview, and Esc to zoom out. Built with [reveal.js](https://revealjs.com) (loaded from CDN). The centerpiece pipeline figure is a hand-authored inline SVG.