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AssetDropper is a generative framework from Hong Kong University of Science and Technology (Guangzhou), Peking University, The University of Hong Kong, and Hong Kong University of Science and Technology that extracts standardized assets from user-specified regions of reference images. It uses diffusion models with reward-driven optimization to handle perspective distortion and occlusion, enabling downstream applications like 2D mockup creation and 3D model texturing.
AI named AssetDropper in November 2025.