Datasets:
| license: bsd-3-clause | |
| task_categories: | |
| - depth-estimation | |
| # What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching? (WMGStereo) | |
| [Paper](https://huggingface.co/papers/2504.16930) | [GitHub](https://github.com/princeton-vl/InfinigenStereo) | |
| **WMGStereo** is a procedural dataset generator specifically optimized for zero-shot stereo matching performance. This repository contains the WMGStereo-150k dataset, a large-scale synthetic training dataset featuring indoor, nature, and dense "flying" scenes. | |
| ## Dataset Download | |
| You can download the dataset using the `huggingface-cli`: | |
| ```bash | |
| pip install huggingface-cli | |
| huggingface-cli download pvl-lab/WMGStereo --repo-type dataset | |
| ``` | |
| ## Dataset Structure | |
| The dataset file structure is as follows: | |
| ``` | |
| . | |
| └── WMGStereo/ | |
| ├── indoor/ | |
| │ └── seed_num/ | |
| │ └── frames/ | |
| │ ├── Image/ | |
| │ │ ├── camera_0 | |
| │ │ └── camera_1 | |
| │ ├── camview/ | |
| │ │ ├── camera_0 | |
| │ │ └── camera_1 | |
| │ ├── disparity/ | |
| │ │ └── camera_0 | |
| │ ├── occ_mask/ | |
| │ │ └── camera_0 | |
| │ └── sky_mask/ | |
| │ └── camera_0 | |
| ├── flying/ | |
| │ └── ... | |
| └── nature/ | |
| └── ... | |
| ``` | |
| * **Camera 0 and 1**: correspond to left and right camera frames, respectively. | |
| * **Ground Truth**: We provide disparity, occlusion, and sky-region masks for the left camera. | |
| * **camview**: contains `.npz` files that contain a dictionary with indices `K`, `T`, `HW`, corresponding to calibration, translation, and resolution matrices. | |
| ## Citation | |
| If you find WMGStereo useful for your work, please consider citing the academic paper: | |
| ```bibtex | |
| @misc{yan2025proceduraldatasetgenerationzeroshot, | |
| title={What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?}, | |
| author={David Yan and Alexander Raistrick and Jia Deng}, | |
| year={2025}, | |
| eprint={2504.16930}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2504.16930}, | |
| } | |
| ``` |