Super-squash branch 'main' using huggingface_hub

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LICENSE

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+FutureSurf: Controlled Motions dataset
+
+Copyright (c) 2026, the FutureSurf benchmark authors.
+
+Licensed under the Creative Commons Attribution 4.0 International License
+(CC BY 4.0). You are free to share and adapt this material for any purpose,
+including commercially, provided you give appropriate credit, link to the
+license, and indicate if changes were made.
+
+  License summary: https://creativecommons.org/licenses/by/4.0/
+  Full legal text: https://creativecommons.org/licenses/by/4.0/legalcode
+  SPDX-License-Identifier: CC-BY-4.0

README.md

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+---
+license: cc-by-4.0
+pretty_name: "FutureSurf: Future Rendering != Future Surface"
+task_categories:
+  - image-to-3d
+tags:
+  - 3d-reconstruction
+  - 4d-reconstruction
+  - dynamic-scene
+  - gaussian-splatting
+  - surface-reconstruction
+  - mesh
+  - synthetic
+  - monocular
+  - benchmark
+  - future-prediction
+size_categories:
+  - 1K<n<10K
+---
+
+# FutureSurf: Future Rendering ≠ Future Surface
+
+A benchmark for **future-time surface reconstruction**: train on monocular frames up to time *T*
+(the observed 75%), then score the reconstructed **surface mesh** at held-out future times *t > T*
+(the remaining 25%).
+
+- 📄 **Paper:** `TODO`
+- 💻 **Code / toolkit:** `TODO`
+
+## Files
+
+| file | size | contents |
+|------|------|----------|
+| `futuresurf_dataset.zip` | ~0.9 GB | 8 controlled motions: renders + per-frame **GT** meshes + transforms + init points |
+| `croissant.jsonld` | — | Croissant 1.0 metadata |
+
+## Download
+
+```python
+from huggingface_hub import hf_hub_download
+hf_hub_download(repo_id="rickyshi/futuresurf", filename="futuresurf_dataset.zip", repo_type="dataset", local_dir=".")
+```
+
+## Layout (per motion, after unzipping)
+
+```
+dataset/controlled/<motion>/
+  images/                r_0.png … r_199.png      200 renders, 800×800 RGBA
+  mesh_gt/               <motion>0.ply … 199.ply  200 GT meshes (vertex-colored PLY)
+  transforms_train.json  observed: 150 frames (time ≤ 0.75)
+  transforms_test.json   future:    50 frames (time > 0.75)
+  points3d.ply           init point cloud (Gaussian backbones)
+```
+
+## Protocol
+
+Train on `transforms_train.json` (observed 75%), then score the extracted mesh against `mesh_gt`
+at the future frames. Metric: Chamfer distance on vertex positions. See the paper and toolkit for
+the full protocol and scoring code.
+
+## The 8 controlled motions
+
+**Surface-changing:**
+- `wave` — periodic
+- `compound` — periodic + trend
+- `stretch` — monotonic
+- `bulge` — localized
+- `accel` — accelerating
+
+**Falsification controls:**
+- `twist` — surface-invariant
+- `rotate` — rigid rotation
+- `stop` — freezing
+
+## License
+
+**CC BY 4.0**

futuresurf_dataset.zip

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