cyberagent/mvscps
Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks. It is first introduced and used for qualitative evaluation in our ICCV 2025 paper. Dataset Structure The dataset contains 6 scenes. Each scene directory is organized as follows: {capture_date}_{material}_{name}/ ├── ARW/ ├── JPG/ ├── mask/ ├──… See the full description on the dataset page: https://huggingface.co/datasets/cyberagent/mvscps.
| Author / organization | cyberagent |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 5 July 2025 |
| Last updated at source | 29 September 2025 |
Recent changes
- 16 Oct 2026 Description: Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks. It is first intro → Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues This dataset contains multi-view One-Light-at-a-Time (OLAT) images captured for multi-view 3D reconstruction and inverse rendering tasks. It is first intro
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