A new large-scale triplet dataset and diffusion transformer model using coarse human masks deliver improved video virtual try-on quality and generalization in challenging real-world conditions.
Omnitry: Virtual try-on anything without masks
5 Pith papers cite this work. Polarity classification is still indexing.
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Vanast produces coherent garment-transferred human animation videos from a single human image, garment images, and pose guidance video using synthetic triplet supervision and a Dual Module video diffusion transformer architecture.
RefTon is a flux-based virtual try-on method that uses unpaired reference images of the target garment on different people to guide texture and detail preservation in a streamlined person-to-person pipeline without body parsing or masks.
FDM-MFVT is a few-step mask-free virtual try-on diffusion model using OANO and IDT modules plus a new 30,000-pair MFVT dataset, claiming better efficiency and quality than baselines.
FitVTON introduces a fit-aware virtual try-on model using text prompts for size control, auxiliary garment/body mask prediction, and texture rectification to achieve better sizing accuracy on diverse bodies than prior diffusion methods.
citing papers explorer
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TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On
A new large-scale triplet dataset and diffusion transformer model using coarse human masks deliver improved video virtual try-on quality and generalization in challenging real-world conditions.
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Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision
Vanast produces coherent garment-transferred human animation videos from a single human image, garment images, and pose guidance video using synthetic triplet supervision and a Dual Module video diffusion transformer architecture.
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FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On
FDM-MFVT is a few-step mask-free virtual try-on diffusion model using OANO and IDT modules plus a new 30,000-pair MFVT dataset, claiming better efficiency and quality than baselines.
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FitVTON: Fit-aware Virtual Try-On via Body-Garment Size Control
FitVTON introduces a fit-aware virtual try-on model using text prompts for size control, auxiliary garment/body mask prediction, and texture rectification to achieve better sizing accuracy on diverse bodies than prior diffusion methods.