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Delving into Asymmetric Information Dynamics for High-Fidelity Virtual Try-On

Qin, Zishu et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Virtual try-on (VTON) requires precise pixel-level fidelity, yet mainstream Diffusion Transformers (DiTs) often suffer from texture degradation and structural drift. We identify symmetric interactions in standard joint-attention mechanisms as a source of these failures. Although such interactions su
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