AIBullisharXiv – CS AI · Mar 36/103
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EquiReg: Equivariance Regularized Diffusion for Inverse Problems
Researchers propose EquiReg, a new framework that improves diffusion models for inverse problems like image restoration by keeping sampling trajectories on the data manifold. The method uses equivariance regularization to guide sampling toward symmetry-preserving regions, enabling high-quality reconstructions with fewer sampling steps.