AI RESEARCH
ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On
arXiv CS.AI
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ArXi:2509.25749v2 Announce Type: cross Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions and faithful preservation of identity and background in non-try-on regions. While latent diffusion models (LDMs) have advanced alignment and detail synthesis, preserving non-try-on regions remains challenging. A common post-hoc strategy directly replaces these regions with original content, but abrupt transitions often produce boundary artifacts.