dmitriitochilkin
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Merge branch 'main' of https://huggingface.co/stabilityai/TripoSR into main
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README.md
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pipeline_tag: image-to-3d
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# TripoSR
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## Model Description
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TripoSR is a fast and feed-forward 3D generative model developed in partnership with Tripo AI inspired by the recent work of [LRM: Large Reconstruction Model For Single Image to 3D](https://arxiv.org/abs/2311.04400).
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This new image-to-3D model leverages cutting-edge AI advancements to set new standards in 3D model generation. Designed to cater to the growing demands of entertaining, gaming, industrial design, and architecture professionals, TripoSR enriches the conversion process with detail and precision while providing efficient and responsive outputs for visualizing 3D objects.
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![row01](figures/output_examples.mov)
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## Usage
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For usage instructions, please refer to our [TripoSR GitHub repository](https://github.com/VAST-AI-Research/TripoSR).
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## Model Details
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### Model Description
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We use renders from the [Objaverse](https://objaverse.allenai.org/objaverse-1.0) dataset, utilizing our enhanced rendering method that more closely replicate the distribution of images found in the real world, significantly improving our model’s ability to generalize. We selected a carefully curated subset of the Objaverse dataset for the training data, which is available under the CC-BY license.
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### Misuse, Malicious Use, and Out-of-Scope Use
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The model should not be used to intentionally create or disseminate 3D models that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.
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pipeline_tag: image-to-3d
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# TripoSR
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![](figures/input800.mp4)
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TripoSR is a fast and feed-forward 3D generative model developed in partnership with Tripo AI inspired by the recent work of [LRM: Large Reconstruction Model For Single Image to 3D](https://arxiv.org/abs/2311.04400).
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## Model Details
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### Model Description
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We use renders from the [Objaverse](https://objaverse.allenai.org/objaverse-1.0) dataset, utilizing our enhanced rendering method that more closely replicate the distribution of images found in the real world, significantly improving our model’s ability to generalize. We selected a carefully curated subset of the Objaverse dataset for the training data, which is available under the CC-BY license.
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## Usage
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For usage instructions, please refer to our [TripoSR GitHub repository](https://github.com/VAST-AI-Research/TripoSR).
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### Misuse, Malicious Use, and Out-of-Scope Use
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The model should not be used to intentionally create or disseminate 3D models that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.
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