Gtr
snap-non-commercial-license
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
- Developed by: Snap Research
- License: snap-non-commercial-license
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
Quellen
1 QuelleVerifiziert 17. Aug.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
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  ## 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
