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| license: mit | |
| language: | |
| - en | |
| pipeline_tag: depth-estimation | |
| tags: | |
| - high resolution | |
| - monocular depth estimation | |
| title: PatchFusion | |
| emoji: 📚 | |
| colorFrom: red | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.41.0 | |
| app_file: app.py | |
| pinned: false | |
| models: | |
| - zhyever/patchfusion_zoedepth | |
| - zhyever/patchfusion_depth_anything_vits14 | |
| - zhyever/patchfusion_depth_anything_vitb14 | |
| - zhyever/patchfusion_depth_anything_vitl14 | |
| - LiheYoung/depth_anything_vits14 | |
| - LiheYoung/depth_anything_vitb14 | |
| - LiheYoung/depth_anything_vitl14 | |
| This is a demo of the high-resolution monocular depth estimation pipeline, described in the paper titled ["PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation"](https://arxiv.org/abs/2312.02284) | |
| ``` | |
| @InProceedings{li2023patchfusion, | |
| title={PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation}, | |
| author={Zhenyu Li and Shariq Farooq Bhat and Peter Wonka}, | |
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, | |
| year={2024} | |
| } | |
| ``` | |