--- license: cc-by-4.0 viewer: false 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 T* (the remaining 25%). - 📄 **Paper:** [arXiv:2607.21471](https://arxiv.org/abs/2607.21471) - 💻 **Code / toolkit:** [github.com/Ricky-S/futuresurf](https://github.com/Ricky-S/futuresurf) ## 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// images/ r_0.png … r_199.png 200 renders, 800×800 RGBA mesh_gt/ 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 ## Citation If you use FutureSurf, please cite: ```bibtex @article{shi2026futuresurf, title = {Future Rendering $\neq$ Future Surface: A Benchmark and Dataset for Dynamic Surface Reconstruction Beyond the Observed Window}, author = {Shi, Yukun and Gong, Minglun}, journal = {arXiv preprint arXiv:2607.21471}, year = {2026} } ``` ## License **CC BY 4.0**