TripoSR
TripoSR is a transformer-based single-image 3D reconstruction model that returns a textured mesh in under 0.5 seconds, building on the LRM architecture with a stronger data and training pipeline.
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Feed-forward 3D: A single image goes in and a complete 3D mesh comes out in one forward pass - no per-object optimization loop as in score-distillation methods.
Improvements over LRM: Data processing (rendering, filtering), model tweaks (improved triplane decoder), and training-technique refinements together lift both speed and quality over the base LRM recipe.
Sub-second inference: Runs in under 0.5 s per object on commodity GPUs, fast enough for real-time asset generation in creative tooling.
MIT-licensed: Released under MIT alongside model weights, positioning TripoSR as a democratizing baseline for researchers and practitioners in 3D generative modeling.