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Found 2 papers, 2 papers with code
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
While existing methods simply align the person appearance to the target pose, they are prone to overfitting due to the lack of a high-level semantic understanding on the source person image.
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Universal domain adaptation (UniDA) is a practical but challenging problem, in which information about the relation between the source and the target domains is not given for knowledge transfer.
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