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pro vyhledávání: '"Liu, Kendong"'
In this paper, we make the first attempt to align diffusion models for image inpainting with human aesthetic standards via a reinforcement learning framework, significantly improving the quality and visual appeal of inpainted images. Specifically, in
Externí odkaz:
http://arxiv.org/abs/2410.21966
Saliency detection with light field images is becoming attractive given the abundant cues available, however, this comes at the expense of large-scale pixel level annotated data which is expensive to generate. In this paper, we propose to learn light
Externí odkaz:
http://arxiv.org/abs/2204.13456