Complete viz: every-model examples + consistency + obs/visit grouping

README.md

@@ -1,13 +1,162 @@
 ---
-license: mit
+license: cc-by-4.0
+tags:
+  - novel-view-synthesis
+  - scene-extrapolation
+  - benchmark
+  - dynamic-nvs
+  - long-horizon
+  - video-diffusion
+pretty_name: Scene-Extrapolation Benchmark Suite
 ---
-# Scene Extrapolation — Benchmark Viz
 
-Full qualitative + quantitative viz for the scene-extrapolation project.
-Open `index.html` locally (interactive lockstep videos + 倍速 speed control).
+# Scene-Extrapolation Benchmark Suite
 
-Sections: story, coverage, quantitative, difficulty, memory, fairness, qualitative,
-qual_kubric4d, qual_lh_dl3dv, qual_revisit (obs/visit grouped + return-frame + dynamic-region
-+ WorldScore consistency), mechanism (why explicit-caching not learned-memory), glossary.
+A unified, **honest** evaluation of generative novel-view synthesis (NVS) in the regimes where
+per-scene 3D-Gaussian-Splatting reconstruction fails:
 
-Every model has at least one qualitative example.
+- **Extrapolative** — held-out, *unobserved* views (not interpolation between dense captures).
+- **Dynamic** — moving foreground content.
+- **Long-horizon** — chained / loop-closing camera trajectories where drift accumulates.
+- **Memory / revisit** — recall when the camera *returns* to a previously-observed pose (do methods
+  remember the scene, or re-hallucinate it?).
+
+One-line framing: **diffusion in the regimes 3DGS fails — extrapolative / dynamic / long-horizon / memory.**
+
+This dataset repo is a **self-contained, offline-playable visualization** of the suite as a live
+snapshot. Open `viz_pkg/index.html` by double-click (or browse `index.html` in the repo) — all paths
+are relative, videos are embedded H.264, no server needed. A zipped copy is provided as
+`scene_extrapolation_benchmark_viz.zip`.
+
+## What's inside
+
+```
+viz_pkg/
+  index.html                 self-contained page (header + 4 sections, inlined CSS/JS/SVG)
+  README.md                  this file
+  sections/                  the source HTML fragments + the coverage snapshot JSON
+    difficulty.html          the headline Kubric-4D difficulty-curve charts (inline SVG)
+    coverage.html / coverage_data.json
+    quantitative.html
+    qualitative.html
+    infer_time.json          per-(method,benchmark) avg inference wall-clock (from SLURM sacct)
+  assets/qual/<bench>/<cid>/*.mp4   FULL-RESOLUTION individual per-method clips (H.264 crf 20,
+                                    NATIVE resolution — GEN3C 1280×704, ViewCrafter 1024×576,
+                                    NVS/SoM 960×540, FrameCrafter/Ours 832×480, Kubric 576×384;
+                                    NO downscaling). Laid out in the page as a CSS grid of
+                                    lazy-loaded <video> elements (≤4 per row), replacing the old
+                                    downscaled composited-grid panels.
+  assets/qual/{mv,mb}_*/<cid>/       REVISIT / MEMORY qualitative panels (6 benchmarks:
+    *.mp4                            multi_visit + moving_back × dl3dv / spatialvid / kubric4d,
+    return/*.png                     ~10 clips each). Per clip: a full-res per-method video grid
+                                     surfacing the memory methods (Shape-of-Motion, GEN3C, SpMem,
+                                     Voyager, Lyra-2, MatrixGame-3) + Ours + honest revisit-GT,
+                                     PLUS a return-frame comparison (return/<method>_pose*.png =
+                                     the model's generated frame at the return pose, next to
+                                     obsgt_pose*.png = the ORIGINAL observed GT there) with the
+                                     reused return/self PSNR·SSIM·LPIPS numbers.
+```
+
+**Synchronized playback.** Every qualitative panel (static, dynamic, long-horizon *and* the
+revisit panels) has a per-panel **sync controller**: one *Play all* toggle + a shared scrubber
+that starts / pauses / **seeks all tiles in lockstep** and loops them together, so the methods are
+always compared at the same timestamp while each tile keeps its own native resolution + download.
+
+The page has **four parts**:
+
+1. **Kubric-4D difficulty curve (headline)** — the primary, confound-free dynamic story. Inline-SVG
+   line charts of metric-vs-camera-angle-bin (x = 30/60/90/120/180°, one line per method) for
+   full-frame PSNR, dynamic-masked mPSNR, LPIPS, and a camera-trajectory error (COLMAP ATE). Every
+   method **degrades as the viewpoint widens**; the gap at the hard 120–180° back-views is the real
+   test. Ours (`vace14b`) is the bold green line. Charts are pure inline SVG — no CDN, fully offline.
+2. **Coverage matrix** — *what we ran*. Rows = all methods (grouped: Ours · diffusion baselines ·
+   per-scene 3D-GS · long-horizon world models), columns = the 6 benchmarks across the 3 axes.
+   Each cell is `✓ scored (n=N)` / `🔄 running` / `⏭ N/A (reason)` / `— pending`.
+3. **Quantitative** — per-benchmark metric tables read directly from
+   `runs/<bench>_metrics/<method>.json`. Static: PSNR/SSIM/LPIPS (hole/extrap + full-frame), FID,
+   TSED, MEt3R, COLMAP. Dynamic: **Kubric-4D clean-GT** (primary, angle-binned 30/60/90/120/180°, 4
+   metric families) + **NVIDIA** dynamic-region-masked mPSNR/mSSIM/mLPIPS (secondary) + SpatialVID.
+   Long-horizon: drift (ATE / rotation / loop-closure) + the WorldScore aggregate — now with the
+   **LH-SOTA** rows (`lyra2`, `matrixgame3`) scored, the `vace14b_ft_lh` `ft@4000` row filled, and a
+   **§4c base-vs-finetune** head-to-head. A dedicated **Memory / revisit** section adds the `mv_*`
+   (revisit-consistency) and `mb_*` (return-fidelity) tables across Kubric-4D / DL3DV / SpatialVID.
+   Best per column is **bold**; the Ours (`vace14b`) row is highlighted. Each per-benchmark table now also carries an
+   **`infer s/clip`** column (last column) and there is a dedicated **§5 Average inference time**
+   summary (per-method s/clip with s/frame, sorted fastest→slowest). These are **honest wall-clock**
+   numbers from **SLURM `sacct` `ElapsedRaw`** summed over the COMPLETED generation array tasks /
+   clips produced (NOT mtime deltas, which parallel array writes make meaningless). Caveats rendered
+   inline: it is wall-clock **incl. one-time model-load amortization**; clip lengths differ per
+   benchmark so **s/frame** is the cross-benchmark-fair number; per-scene `shape_of_motion` includes
+   the **full 4D-GS optimization** (flagged `per-scene`); methods with no `sacct` record show `—`
+   (never fabricated). The spread runs from fast feed-forward (Lyra-2 / Matrix-Game ~1.5–2 s/frame)
+   through autoregressive-memory (Voyager 13–100 s/frame) to per-scene Shape-of-Motion (~62 s/frame).
+4. **Qualitative** — per representative clip, a **CSS grid of individual full-resolution videos**
+   (≤4 per row): *observed input | warp / point-cloud | key baselines (incl. FrameCrafter) | Ours |
+   GT*, including long-horizon closed-loop / revisit clips. Each `<video>` plays its method's output
+   at **native resolution** (no downscaling; `object-fit: contain` normalizes the grid box) and is
+   **lazy-loaded** (`preload="none"` + IntersectionObserver load-on-scroll) inside per-benchmark
+   collapsible sections, so the page stays responsive despite hundreds of clips. Clip sets: eval50 (12),
+   NVIDIA (12), SpatialVID (12), Kubric-4D (25, grouped by 30/60/90/120/180° bin), LH-DL3DV (12,
+   grouped by trajectory family). Honest GT handling preserved: synthetic-orbit GT dropped, closed-loop
+   GT relabeled "observed-only", unscored methods tagged *(metrics pending)*.
+
+## Benchmarks (12 across 4 axes)
+
+| Axis | Benchmark | Protocol notes |
+|---|---|---|
+| Static | **DL3DV** (50 held-out clips) | extrapolation into the unobserved region |
+| Dynamic | **Kubric-4D** | **PRIMARY** confound-free anchor — standard GCD/AnyView angle-binned protocol, **perfect GT** poses/depth/segmentation (no depth/scale/warp confound). The headline difficulty curve (30/60/90/120/180°) lives at the top of the page |
+| Dynamic | **NVIDIA Dynamic Scenes** | **SECONDARY** real-dynamic check — 12-cam static rig (high multi-view factor, "teleporting camera"), dynamic-region-masked mPSNR/mSSIM/mLPIPS |
+| Dynamic | **SpatialVID** (30 clips) | in-the-wild dynamic |
+| Long-horizon | **LH-DL3DV** (42 clips) | GVS-style drift / loop-closure (orbit · long-straight · closed-loop) |
+| Long-horizon | **WorldScore** | Stanford world-generation aggregate (cam-ctrl / 3D-consist / photo / …) |
+| Memory / revisit | **multi_visit** (`mv_*`) × {Kubric-4D · DL3DV · SpatialVID} | **REVISIT-CONSISTENCY** — revisit a fixed observed pose; score GT-fidelity (`revisit_psnr/ssim/lpips_gt`) + cross-visit self-consistency drift (`revisit_self_*`, GT-free) |
+| Memory / revisit | **moving_back** (`mb_*`) × {Kubric-4D · DL3DV · SpatialVID} | **RETURN-FIDELITY** — move away into unseen space then return; score return-vs-GT + `degrade_vs_observed_psnr` (the forgetting signal) + `away_dist`. Kubric carries a per-away-distance-bin breakdown |
+
+> **Memory axis (NEW):** both families score **only on real GT** (revisit/return legs carry true GT;
+> synthetic away-legs are masked upstream). **Headline — explicit geometric caching, not learned memory,
+> enables return-fidelity — now confirmed across all three scene types**: static-real DL3DV, synthetic
+> Kubric-4D, AND dynamic-real SpatialVID (9 methods scored per family, 52 cells; `spmem` and the
+> warp-conditioned `framecrafter` now folded in on **all six** memory benchmarks). Per-scene 4D-GS (`shape_of_motion`) stores the scene and degrades only
+> **−0.8 dB** (DL3DV) / **−1.0 dB** (SpatialVID); the best *forward generator* is `gen3c` with an explicit
+> 3D point cache, the only generator that stays low on every scene type (**−17.0 dB** DL3DV / **−13.8 dB**
+> Kubric / **−17.5 dB** SpatialVID). The dedicated **learned** spatial-memory model `spmem` collapses
+> **−30.0 / −24.1 / −32.0 dB** (DL3DV / Kubric / SpatialVID) — among the worst on all three, *uniform across
+> static, synthetic and dynamic*, so it is **not a domain gap**. The memoryless single-shot generators
+> (`lyra2` / VACE / `viewcrafter` / `nvs_solver`) all collapse **≈ −20 to −32 dB**, and `spmem` sits inside
+> that band. (Matrix-Game 3.0's tiny degrade is an artifact of uniformly-low quality, return-PSNR ≈ 11 —
+> not memory.) Today's strongest extrapolators have **no working learned memory**; explicit geometry carries it.
+
+> DyCheck (iPhone handheld) was **dropped**: its **portrait** aspect ratio doesn't fit the landscape
+> pipeline, so it would be an unfair comparison. The confound-free **Kubric-4D clean-GT** anchor (with
+> perfect ground-truth, no warp confound) is the primary dynamic story; NVIDIA is the secondary check.
+
+## Methods
+
+- **Ours (warp+inpaint VACE):** `vace14b` (Wan2.1-VACE-14B, depth-warp control → inpaint) and its
+  finetunes `vace14b_ft_lh` / `vace14b_ft_dyn` / `vace14b_ft_mixed`, plus `i2v_base` / `i2v_ft`.
+- **Diffusion baselines:** `gen3c`, `voyager`, `flexworld`, `viewcrafter`, `framecrafter`,
+  `nvs_solver`, `viewextrapolator`, `trajcrafter`.
+- **Per-scene 3D-GS:** `shape_of_motion` (monocular 4D Gaussian fit).
+- **Long-horizon world models:** `lyra2`, `matrix3d`, `spmem`, `vmem`, `matrixgame3`.
+
+## Honesty / snapshot caveats
+
+This is a **live snapshot** (2026-06-29) — several jobs are still running. Cells with no scored
+`<method>.json` render as `running` / `pending` / `N/A`, **never as a fabricated number**. Notable
+state at snapshot time: the long-horizon SOTA rows `lyra2` and `matrixgame3` are now **scored** on the
+LH drift probe, and `vace14b_ft_lh` is **scored at `ft@4000`** (see the §4c base-vs-finetune head-to-head);
+`spmem` still has no LH metrics json (long-horizon roll still generating, left `running`). The NEW
+**Memory / revisit** axis now carries **9 methods scored per benchmark** (52 cells total) across all six families, with
+`spmem` and `framecrafter` both folded in on all three scene types; `vmem`/FlexWorld/TrajCrafter/ViewExtrapolator/Voyager
+and `spmem` on the still-generating long-horizon set are still rolling out there. The `vace14b` recon metrics on NVIDIA / Kubric summary are still shown as `running` (warp
+pipeline still scoring) rather than as numbers.
+
+## Reproduction
+
+Metrics are aggregated from per-clip rows by `code/build_bench.py` into `viz/bench_data.json`; the
+Kubric-4D per-angle-bin difficulty curve (inline SVG) is built by `code/build_kubric_curve.py` from
+the `by_bin` aggregates; the section fragments and the video panels are built on top, then assembled
+into `index.html`. The **inference-time** column/summary is computed by `code/compute_infer_time.py`
+(SLURM `sacct` → `sections/infer_time.json`) and injected into the quantitative tables by
+`code/add_infer_column.py` (additive, re-runnable, idempotent).

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