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Natural paper revisions can be harnessed to train AI agents for precise and context-aware editing of complex scientific diagrams.
Hierarchical planning and self-reflection can finally wrangle AIGC tools into producing coherent, visually consistent webpages.
Current image generation models fall far short of the mark when it comes to the structured and multi-constraint demands of real-world commercial design, as revealed by a new systematic benchmark.