Vipe
ViPE: Video Pose Engine for Geometric 3D Perception
Install / Use
npx skills add nv-tlabs/vipeInstalls into whichever agent you are using.
README
ViPE: Video Pose Engine for Geometric 3D Perception
<p align="center"> <img src="assets/teaser.gif" alt="teaser"/> </p>TL;DR: ViPE is a useful open-source spatial AI tool for annotating camera poses and dense depth maps from raw videos!
ViPE estimates camera intrinsics, camera motion, and dense near-metric depth maps from unconstrained raw videos, including pinhole, wide-angle, and 360-degree panorama footage.
<p align="center"> <a href="https://research.nvidia.com/labs/toronto-ai/vipe"><img src="https://img.shields.io/badge/Project%20Page-76B900?logo=nvidia&logoColor=white" alt="Project Page"/></a> <a href="https://arxiv.org/abs/2508.10934"><img src="https://img.shields.io/badge/arXiv-2508.10934-B31B1B?logo=arxiv&logoColor=white" alt="arXiv"/></a> <a href="https://pypi.org/project/nvidia-vipe/"><img src="https://img.shields.io/pypi/v/nvidia-vipe?logo=pypi&logoColor=white&label=PyPI" alt="PyPI"/></a> <a href="https://nv-tlabs.github.io/vipe/"><img src="https://img.shields.io/badge/Documentation-blue?logo=readthedocs&logoColor=white" alt="Documentation"/></a> <a href="https://nv-tlabs.github.io/vipe/dataset/"><img src="https://img.shields.io/badge/Datasets-4B8BBE?logo=databricks&logoColor=white" alt="Datasets"/></a> </p>News
- 2026/06: 🚀🚀🚀 Released ViPE 1.2.0: 2.7x speed-up with no loss of accuracy, enabled by CUDA fused kernels, model and pipeline caching, prefetching, and other optimizations.
- 2026/05: Merged Panorama estimation pipeline & bump release version to 1.0.0.
- 2026/01: Integration with Depth-Anything 3 for depth estimation (use
dav3pipeline). - 2025/10: Add support to run on wide-angle videos.
- 2025/09: Add support to run Lyra pipeline.
- 2025/08: Initial release of ViPE.
License
This project will download and install additional third-party models and softwares. Note that these models or softwares are not distributed by NVIDIA. Review the license terms of these models and projects before use. This source code, except for the Unik3D part (which is under the BY-NC-SA 4.0 license) , is released under the Apache 2 License.
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