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TransAnyText achieves superior e-commerce image translation by transforming image text into editable HTML patches, setting a new standard for accuracy and visual fidelity.
Unified text patch manipulation in e-commerce posters could revolutionize how brands create and customize visual content.
Achieving an FID of 1.45 in just 600 epochs, Energy-Guided Flow Matching redefines efficiency in high-quality image generation without the need for extensive model adaptations.
iFAN boosts segmentation accuracy by aligning query competition with mask quality, achieving significant performance gains without extra computational overhead.
