| | --- |
| | license: cc-by-4.0 |
| | pretty_name: STANCE Scenes (Composite & Synthetic) |
| | language: |
| | - en |
| | tags: |
| | - stance |
| | - kubric |
| | - rigid-body |
| | - video |
| | - synthetic-data |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | |
| | # STANCE Scenes (Composite & Synthetic) |
| |
|
| | **Snapshot:** 95k scenes total — **75,000 composite** + **20,000 synthetic/simple**. |
| | Built with **Kubric** for short clips of rigid-body interactions. |
| |
|
| | - **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. |
| | - **Composite:** replaces primitives with **GSO** assets; backgrounds sampled from ~5,000 environment maps; randomized object selection/placement/pose to induce diverse contacts and occlusions. |
| | Camera intrinsics/extrinsics and renderer settings are consistent within each scene; material, friction, restitution, and object counts are sampled within bounded ranges. |
| |
|
| | ## Files in this release |
| | - `composite_scene.tar.part-00` |
| | - `composite_scene.tar.part-01` |
| | - `composite_scene.tar.part-02` |
| | - `composite_scene.tar.part-03` |
| | - `synthetic_scene.tar` |
| |
|
| | > `composite_scene.tar` is split into 4 parts; `synthetic_scene.tar` is a single archive. |
| |
|
| | ## Reassemble & Extract |
| | Linux / macOS: |
| | ```bash |
| | cat composite_scene.tar.part-0{0..3} > composite_scene.tar |
| | tar -xf composite_scene.tar |
| | tar -xf synthetic_scene.tar |
| | ```` |
| |
|
| | (Optional) verify: |
| |
|
| | ```bash |
| | sha256sum composite_scene.tar synthetic_scene.tar |
| | ``` |
| |
|
| | ## Project & Code |
| |
|
| | For detailed information about our work, please visit our **project page**: |
| | [https://envision-research.github.io/STANCE/](https://envision-research.github.io/STANCE/) |
| |
|
| | If you find this work useful, please consider **citing our paper** and leaving a **⭐ on GitHub**: |
| | [https://github.com/EnVision-Research/STANCE](https://github.com/EnVision-Research/STANCE) |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @article{chen2025stance, |
| | title = {STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding}, |
| | 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}, |
| | journal = {arXiv preprint arXiv:2510.14588}, |
| | year = {2025} |
| | } |
| | ``` |
| |
|
| | ## License |
| |
|
| | CC BY 4.0 (you may switch to CC BY-NC 4.0 if preferred). |
| |
|
| | ``` |
| | ::contentReference[oaicite:0]{index=0} |
| | ``` |
| |
|
| |
|