| license: other | |
| library_name: diffusers | |
| pipeline_tag: depth-estimation | |
| base_model: tencent/DepthCrafter | |
| datasets: | |
| - Soon122/PanoCARLA | |
| tags: | |
| - depth-estimation | |
| - video-depth-estimation | |
| - panoramic-video | |
| - equirectangular | |
| - diffusers | |
| - pvdepth | |
| # PVDepth | |
| This repository provides the UNet checkpoint for **PVDepth: Panoramic Video | |
| Depth Estimation via Geometry-Aware Spatiotemporal Adaptation**. It estimates | |
| temporally consistent relative inverse depth from equirectangular images and | |
| videos. | |
| ## Usage | |
| ```bash | |
| GPU_ID=0 bash run_infer_any.sh \ | |
| <input_path> \ | |
| Soon122/PVDepth \ | |
| ./outputs | |
| ``` | |
| See the [PVDepth repository](https://github.com/ChuanxinSong/PVDepth) for | |
| installation and usage. The training dataset is available at | |
| [PanoCARLA](https://huggingface.co/datasets/Soon122/PanoCARLA). | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{song2026pvdepth, | |
| author = {Song, Chuanxin and Peng, Peixi}, | |
| title = {PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation}, | |
| booktitle = {ICML}, | |
| year = {2026} | |
| } | |
| ``` | |
| ## License | |
| This checkpoint is subject to the upstream licenses of DepthCrafter and Stable Video Diffusion. See the PVDepth repository for details. | |