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README.md
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---
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license: apache-2.0
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tags:
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- depth-estimation
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- monocular-depth
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- diffusion
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pipeline_tag: depth-estimation
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---
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# Pixel-Perfect-Depth — MoGe2 checkpoint (mirror)
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This is an **unmodified mirror** of the `ppd_moge.pth` checkpoint from
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[Pixel-Perfect Depth](https://github.com/gangweix/pixel-perfect-depth) (NeurIPS 2025),
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the PPD variant that uses **MoGe2** semantics and delivers a ~20–30% improvement on
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zero-shot benchmarks over the DA2 variant.
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It is rehosted here **only** because the original file is distributed via Google Drive,
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which is unreliable for automated downloads in the
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[ComfyUI-PixelPerfectDepth](https://github.com/PozzettiAndrea/ComfyUI-PixelPerfectDepth)
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integration. All credit belongs to the original authors.
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## Source & attribution
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- **Original repo:** https://github.com/gangweix/pixel-perfect-depth (Apache-2.0)
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- **Original weights:** Google Drive — file id `1tabmcsbRVDKDfmO4KU1vOjurzN-wp0HV`
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(linked from the upstream README, "PPD / MoGe2" row)
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- **Paper:** https://arxiv.org/abs/2510.07316
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This mirror is unmodified and redistributed under the upstream **Apache-2.0** license
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(see `LICENSE`). No endorsement by the original authors is implied.
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## Usage
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This checkpoint requires the MoGe2 encoder weights
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([`moge2.pt`](https://huggingface.co/Ruicheng/moge-2-vitl-normal)) at load time, as in
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the upstream `run.py --semantics_model MoGe2`.
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```bibtex
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@article{xu2025pixel,
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title={Pixel-perfect depth with semantics-prompted diffusion transformers},
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author={Xu, Gangwei and Lin, Haotong and Luo, Hongcheng and others},
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journal={arXiv preprint arXiv:2510.07316},
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year={2025}
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}
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```
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