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Technical University of Munich
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Articulated 3D object reconstruction can now achieve high fidelity and internal structure recovery from mere text or images, thanks to a debate-driven agentic approach.
TriFlow achieves 90% lower Chamfer Distance and 8x faster mesh generation, setting a new standard for artist-like 3D topology synthesis.
Automated discovery of complex humanoid manipulation skills could revolutionize how robots learn and adapt to new tasks without human input.
Scene reconstruction gets a 16% fidelity boost by treating it as conditional 3D generation, effectively scaling object-level generative priors to entire environments.
Feed-forward 3D Gaussian Splatting gets a huge boost in rendering quality and generalization by learning to predict optimal initializations for test-time optimization.
Real-world 3D scene completion is now possible without synthetic training data, thanks to visibility-guided flow matching that handles incomplete scans.
