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The Hong Kong Polytechnic University, Visual Computing Lab, OPPO Research Institute
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TV-Edit achieves unprecedented precision in image editing by merging the semantic richness of text with the spatial accuracy of visual prompts.
Achieve content-consistent image edits without sacrificing quality by using region-regularized reinforcement learning that preserves unedited regions.
