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Gtr

snap-non-commercial-license

ArtOtherVersionRevision 2c8b88cCBewertung

Modellquelle

Art
Other
Dateigröße
4,60 GB
Version
vRevision 2c8b88c
Aktualisiert
18. Okt. 2026
Downloads
0
Quelle
Hugging Face

Quellenbeschreibung

Model Details

GTR is a large 3D reconstruction model that takes multi-view images as input and enables the generation of high-quality meshes with faithful texture reconstruction within seconds.

Model Description

Model Sources

How to Get Started with the Model

Installation

We recommend using Python>=3.10, PyTorch==2.7.0, and CUDA>=12.4.

conda create --name gtr python=3.10
conda activate gtr
pip install -U pip

pip install torch==2.7.0 torchvision==0.22.0 torchmetrics==1.2.1 --index-url https://download.pytorch.org/whl/cu124
pip install -U xformers --index-url https://download.pytorch.org/whl/cu124

pip install -r requirements.txt

How to Use

Please follow instructions here.

Demo

Demo Visuals

Citation

BibTeX:

@article{zhuang2024gtr,
  title={Gtr: Improving large 3d reconstruction models through geometry and texture refinement},
  author={Zhuang, Peiye and Han, Songfang and Wang, Chaoyang and Siarohin, Aliaksandr and Zou, Jiaxu and Vasilkovsky, Michael and Shakhrai, Vladislav and Korolev, Sergey and Tulyakov, Sergey and Lee, Hsin-Ying},
  journal={arXiv preprint arXiv:2406.05649},
  year={2024}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 2c8b88c9f4b6bea50aafd932468337bab759adf0
huggingface.co/snap-research/gtr/tree/2c8b88c9f4b6bea50aafd932468337bab759adf0

Verifiziert 17. Aug.

Modellartefakte

1 Artefakt

ckpt.pth

pth · 4,60 GB · SHA-256 ff483cbbde91…9e84 · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: other license_name: snap-non-commercial-license license_link: LICENSE datasets: - allenai/objaverse language: - en pipeline_tag: image-to-3d --- ## Model Details GTR is a large 3D reconstruction model that takes multi-view images as input and enables the generation of high-quality meshes with faithful texture reconstruction within seconds. ## Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [Snap Research](https://github.com/snap-research) - **License:** [snap-non-commercial-license](https://huggingface.co/snap-research/gtr/blob/main/LICENSE) ## Model Sources <!-- Provide the basic links for the model. --> - **Repository:** [snap_gtr](https://github.com/snap-research/snap_gtr) - **Paper:** [arxiv](https://arxiv.org/abs/2406.05649) - **Web:** [project](https://snap-research.github.io/GTR/) ## How to Get Started with the Model ### Installation We recommend using `Python>=3.10`, `PyTorch==2.7.0`, and `CUDA>=12.4`. ```bash conda create --name gtr python=3.10 conda activate gtr pip install -U pip pip install torch==2.7.0 torchvision==0.22.0 torchmetrics==1.2.1 --index-url https://download.pytorch.org/whl/cu124 pip install -U xformers --index-url https://download.pytorch.org/whl/cu124 pip install -r requirements.txt ``` ### How to Use Please follow instructions [here](https://github.com/snap-research/snap_gtr/tree/main?tab=readme-ov-file#how-to-use). ## Demo ![Demo Visuals](demo_visuals.gif) ## Citation <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** ```bibtex @article{zhuang2024gtr, title={Gtr: Improving large 3d reconstruction models through geometry and texture refinement}, author={Zhuang, Peiye and Han, Songfang and Wang, Chaoyang and Siarohin, Aliaksandr and Zou, Jiaxu and Vasilkovsky, Michael and Shakhrai, Vladislav and Korolev, Sergey and Tulyakov, Sergey and Lee, Hsin-Ying}, journal={arXiv preprint arXiv:2406.05649}, year={2024} } ```

Source context: 0 downloads · 2 likes · Pipeline image-to-3d · Repo snap-research/gtr