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Differentiable collision checking in configuration space, previously a major hurdle, is now achievable with zero-shot generalization thanks to CSSDF-Net.
Unlock high-quality 3D part segmentation with minimal labeled data by repurposing existing 3D generative models.
Flow-matching transformers with latent multi-modal conditioning and self-reference can leapfrog existing virtual try-on methods in both visual fidelity and inference speed.
