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  size_categories:
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  - 10K<n<100K
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  size_categories:
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  - 10K<n<100K
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  ---
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+
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+ # STANCE Scenes (Composite & Synthetic)
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+
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+ **Snapshot:** 95k scenes total — **75,000 composite** + **20,000 synthetic/simple**.
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+ Built with **Kubric** for short clips of rigid-body interactions.
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+
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+ - **Synthetic/simple:** minimal scenes with one or more rigid objects; randomized shape (ball / a few primitives), mass, initial linear velocity, and pose. Lighting uses three area lights plus a sun with randomized intensity/temperature.
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+ - **Composite:** replaces primitives with **GSO** assets; backgrounds sampled from ~5,000 environment maps; randomized object selection/placement/pose to induce diverse contacts and occlusions.
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+ Camera intrinsics/extrinsics and renderer settings are consistent within each scene; material, friction, restitution, and object counts are sampled within bounded ranges.
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+
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+ ## Files in this release
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+ - `composite_scene.tar.part-00`
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+ - `composite_scene.tar.part-01`
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+ - `composite_scene.tar.part-02`
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+ - `composite_scene.tar.part-03`
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+ - `synthetic_scene.tar`
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+
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+ > `composite_scene.tar` is split into 4 parts; `synthetic_scene.tar` is a single archive.
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+
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+ ## Reassemble & Extract
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+ Linux / macOS:
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+ ```bash
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+ cat composite_scene.tar.part-0{0..3} > composite_scene.tar
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+ tar -xf composite_scene.tar
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+ tar -xf synthetic_scene.tar
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+ ````
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+
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+ (Optional) verify:
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+
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+ ```bash
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+ sha256sum composite_scene.tar synthetic_scene.tar
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+ ```
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+
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+ ## Project & Code
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+
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+ For detailed information about our work, please visit our **project page**:
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+ [https://envision-research.github.io/STANCE/](https://envision-research.github.io/STANCE/)
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+
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+ If you find this work useful, please consider **citing our paper** and leaving a **⭐ on GitHub**:
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+ [https://github.com/EnVision-Research/STANCE](https://github.com/EnVision-Research/STANCE)
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{chen2025stance,
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+ title = {STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding},
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+ author = {Zhifei Chen and Tianshuo Xu and Leyi Wu and Luozhou Wang and Dongyu Yan and Zihan You and Wenting Luo and Guo Zhang and Yingcong Chen},
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+ journal = {arXiv preprint arXiv:2510.14588},
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+ year = {2025}
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+ }
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+ ```
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+
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+ ## License
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+
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+ CC BY 4.0 (you may switch to CC BY-NC 4.0 if preferred).
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+
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+ ```
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+ ::contentReference[oaicite:0]{index=0}
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+ ```
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+