Input Image
3D Reconstruction
Input Image
3D Reconstruction
TripoSR is a state-of-the-art, open-source model for fast 3D reconstruction from a single image, collaboratively developed by Tripo AI and Stability AI.
TripoSR generates a mesh from a given image by processing the image as a NumPy array and then returning a tuple containing the preprocessed image and the name of the generated mesh file.
Yes, texture resolution improvements are possible. Users have discussed modifying the color sampling code to enhance texture quality, which has shown to be effective.
There have been efforts to integrate TripoSR with ComfyUI, including the creation of a custom node for ComfyUI to experiment with TripoSR. However, users have reported issues with dependencies and errors during integration.
Yes, there are scripts available that aim to increase the texture resolution of the meshes generated by TripoSR. These scripts can be found on GitHub and have been shared by the community.
To get started with TripoSR, you can visit the official GitHub repository for documentation and code examples. This will provide you with the necessary information to begin experimenting with 3D mesh generation from images.
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