VTBench is a multi-dimensional benchmark with novel unpaired metrics and human preference data for evaluating image-based virtual try-on models, though the human-alignment evidence is incomplete.
Stableviton: Learning semantic correspondence with latent diffusion model for virtual try-on
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VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
VTBench is a multi-dimensional benchmark with novel unpaired metrics and human preference data for evaluating image-based virtual try-on models, though the human-alignment evidence is incomplete.