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GradientSpaces / World-from-Motion

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[NeurIPS 2026] World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Videos

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2026-10-20 · 25 ★ 2026-10-22 · 27 ★
LanguagePython
LicenseApache-2.0
Created2026-10-15 (7d ago)
Last push3d ago
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README excerpt
# World from Motion
### Generative Dynamic Gaussian Reconstruction from Monocular Video
**NeurIPS 2026**
Liyuan Zhu 1,2 ·
Shengyu Huang 2 ·
Amrita Mazumdar 2 ·
Tianye Li 2 ·
Zan Gojcic 2 
Gordon Wetzstein 1 ·
Iro Armeni 1 ·
Shalini De Mello 2 ·
Alex Trevithick 2 
 1 Stanford University   2 NVIDIA
**Project page** ·
**Paper** ·
**Teaser** ·
**Interactive viewer**
World from Motion turns a monocular video into a dynamic 3D Gaussian scene that
can be rendered from new viewpoints. A video model refines views rendered from
an initial reconstruction, then those generated views are distilled back into
the scene. The core video pipeline combines MoSca reconstruction with DiffSynth video generation.
## Getting started
1. Build the environment using the installation guide.
2. Prepare the model bundle.
3. Reconstruct your video with the usage guide.
4. Reproduce **Ours (sample)** and **Ours (distill)** on DyCheck using
 REPRODUCTION.md, including the benchmark-specific setup,
 commands and reference numbers.
Model weights are distributed separately. The DyCheck Table 1 checkpoint is on
Hugging Face at `liyzzz/World-from-Motion`,
and the released evaluation masks are at
`liyzzz/World-from-Motion-DyCheck-Masks`.
The download location for the video-pipeline model bundle will be added when it is published.
## Code structure
| Directory | Contents |
| --- | --- |
| `src/wfm/` | Video generation, camera controls and pipeline utilities |
| `docs/` | Installation, model setup and video usage |
| `scripts/` | Source-package checks |
| `config/` | Model and inference settings |
| `tests/` | Unit tests using synthetic inputs |
| `reproduce/` | DyCheck sampling, distillation, evaluation and pinned research backends |
| `vendor/` | Dependencies and their original licenses |
## Citation
 [code] 
## Acknowledgements and license
The original World from Motion code and the WfM step-12500 checkpoint are
licensed under Apache-2.0. See NOTICE for copyright and
model attribution, and model setup for checkpoint packaging.
This implementation builds on MoSca, DiffSynth-Studio and the other components
listed in THIRD_PARTY_NOTICES.md. Bundled third-party
code and separately obtained models retain their respective licenses.