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TripoSR
 TripoSR is a fast and feed-forward 3D generative model developed in collaboration between Stability AI and Tripo AI.
Model Details
Model Description
We closely follow LRM network architecture for the model design, where TripoSR incorporates a series of technical advancements over the LRM model in terms of both data curation as well as model and training improvements. For more technical details and evaluations, please refer to our tech report.
- Developed by: Stability AI, Tripo AI
- Model type: Feed-forward 3D reconstruction from a single image
- License: MIT
- Hardware: We train
TripoSRfor 5 days on 22 GPU nodes each with 8 A100 40GB GPUs
Model Sources
- Repository: https://github.com/VAST-AI-Research/TripoSR
- Tech report: https://arxiv.org/abs/2403.02151
- Demo: https://huggingface.co/spaces/stabilityai/TripoSR
Training Dataset
We use renders from the Objaverse 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.
Usage
- For usage instructions, please refer to our TripoSR GitHub repository
- You can also try it in our gradio demo
Misuse, Malicious Use, and Out-of-Scope Use
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.