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