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ComfyUI Pixel Perfect Depth

Working on tonight the RT versions Model Downloads for ComfyUI custom node Here Node usage on github Orgin models can be found linked here at orgin github in google drives or some at these Huggingfaces listed below

ArtOtherVersionRevision 34947edCBewertung

Modellquelle

Art
Other
Dateigröße
1,23–3,57 GB
Version
vRevision 34947ed
Aktualisiert
7. Okt. 2026
Downloads
3
Quelle
Hugging Face

Quellenbeschreibung

PPD sample output

Acknowledgement

We are grateful to the Depth Anything V2, MoGe and DiT teams for their code and model release. We would also like to sincerely thank the NeurIPS reviewers for their appreciation of this work (ratings: 5, 5, 5, 5).

Citation

If you find this project useful, please consider citing:

@article{xu2025pixel,
  title={Pixel-perfect depth with semantics-prompted diffusion transformers},
  author={Xu, Gangwei and Lin, Haotong and Luo, Hongcheng and Wang, Xianqi and Yao, Jingfeng and Zhu, Lianghui and Pu, Yuechuan and Chi, Cheng and Sun, Haiyang and Wang, Bing and others},
  journal={arXiv preprint arXiv:2510.07316},
  year={2025}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 34947ed45c0e74697e48af624dd2693201d59d71
huggingface.co/ApacheOne/ComfyUI-pixel-perfect-depth/tree/34947ed45c0e74697e48af624dd2693201d59d71

Verifiziert 30. Aug.

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Modellartefakte

6 Artefakte

DA2/depth_anything_v2_vitl.pth

pth · 1,25 GB · SHA-256 a7ea19fa0ed9…9345 · Hugging Face

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DA2/ppd.pth

pth · 1,86 GB · SHA-256 54d0ece0e7cc…67bc · Hugging Face

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MoGe2/model.pt

pt · 1,23 GB · SHA-256 280741fd09bc…1a01 · Hugging Face

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MoGe2/ppd_moge.pth

pth · 1,86 GB · SHA-256 cd21e7958315…c7b0 · Hugging Face

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Video/model.safetensors

safetensors · 3,57 GB · SHA-256 33580e4702ac…875d · Hugging Face

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Video/ppvd.pth

pth · 2,09 GB · SHA-256 5a4530f111ac…315f · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: apache-2.0 pipeline_tag: image-to-3d tags: - art --- ![PPD sample output](https://raw.githubusercontent.com/Apache0ne/ComfyUI-pixel-perfect-depth/main/examples/ImageToStl.com_PPD_00020_.ply.gif) - Working on tonight the RT versions - Model Downloads for ComfyUI custom node [Here](https://github.com/Apache0ne/ComfyUI-pixel-perfect-depth) Node usage on github - Orgin models can be found linked [here](https://github.com/gangweix/pixel-perfect-depth) at orgin github in google drives or some at these Huggingfaces listed below - https://huggingface.co/gangweix/Pixel-Perfect-Depth - https://huggingface.co/depth-anything/Depth-Anything-V2-Large - https://huggingface.co/Ruicheng/moge-2-vitl-normal - https://huggingface.co/yyfz233/Pi3 ## Acknowledgement We are grateful to the [Depth Anything V2](https://github.com/DepthAnything/Depth-Anything-V2), [MoGe](https://github.com/microsoft/MoGe) and [DiT](https://github.com/facebookresearch/DiT) teams for their code and model release. We would also like to sincerely thank the NeurIPS reviewers for their appreciation of this work (ratings: 5, 5, 5, 5). ## Citation If you find this project useful, please consider citing: ```bibtex @article{xu2025pixel, title={Pixel-perfect depth with semantics-prompted diffusion transformers}, author={Xu, Gangwei and Lin, Haotong and Luo, Hongcheng and Wang, Xianqi and Yao, Jingfeng and Zhu, Lianghui and Pu, Yuechuan and Chi, Cheng and Sun, Haiyang and Wang, Bing and others}, journal={arXiv preprint arXiv:2510.07316}, year={2025} }

Source context: 3 downloads · 0 likes · Pipeline image-to-3d · Repo ApacheOne/ComfyUI-pixel-perfect-depth

Source context: 1 downloads · 0 likes · Pipeline image-to-3d · Repo ApacheOne/ComfyUI-pixel-perfect-depth