TripoSR: Fast 3D Object Generation from Single Images
Introducing TripoSR: Fast 3D Object Generation from Single Images — Stability AI

  Comparing TripoSR 3D reconstructions with those from OpenLRM.Technical DetailsOur training data preparation incorporates diverse data rendering techniques that more closely replicate the distribution of images found in the real world, significantly improving the model's ability to generalize. We carefully curated a CC-BY, a higher-quality subset of the Objaverse dataset, for the training data. On the model side, we also introduced several technical improvements over the base LRM model, including channel number optimization, mask supervision, and a more efficient crop rendering strategy. You can read the technical report for more details. We invite developers, designers, and creators to explore its capabilities, contribute to its evolution, and discover its potential to transform their work and industries. The code for the TripoSR model is now available on Tripo AI’s GitHub, and the model weights are available on Hugging Face. Please refer to our technical report for more details on the TripoSR model.To stay updated on our progress, follow us on Twitter, Instagram, LinkedIn, and join our Discord Community.
