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• BridgeDiff is a diffusion-based framework designed to bridge human observations and flat-garment synthesis for virtual try-off.method 95%
• The Garment Condition Bridge Module (GCBM) captures global appearance and semantic identity to infer continuous details under partial visibility.method 95%
• The Flat Structure Constraint Module (FSCM) injects explicit flat-garment structural priors via Flat-Constraint Attention (FC-Attention) to improve structural stability.method 95%
• Prior virtual try-off methods often treat the problem as direct image translation driven by local masks or text-only prompts.limitation 90%
• Prior virtual try-off methods frequently lead to inconsistent completion in unobserved regions and unstable garment structure.limitation 90%
• BridgeDiff achieves state-of-the-art performance on standard VTOFF benchmarks.result 95%
• BridgeDiff produces higher-quality flat-garment reconstructions compared to previous methods.result 95%

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