Virtual Try-on
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Benchmarks
VITON
VITON-HD
Deep-Fashion
MPV
Dress Code
FashionIQ
Microsoft COCO dataset
StreetTryOn
UBC Fashion Videos
Most implemented
VITON: An Image-based Virtual Try-on Network
Toward Characteristic-Preserving Image-based Virtual Try-On Network
TAMF-VTON: Texture-Aware Mask-Free Virtual Try-On via High-Fidelity Image Synthesis
Style-Based Global Appearance Flow for Virtual Try-On
Papers
FlowVVTON: Flow-Guided Mask-Free Video Virtual Try-On
Video virtual try-on aims to transfer a target garment onto a moving person across video frames. Current methods rely on human parsing masks or pose keypoints that frequently fail under large motions and occlusions, caus…
Virtual Try-onHuman ParsingLiveVVT: High-Fidelity Video Virtual Try-On in Real Time
Diffusion-based Video Virtual Try-On (VVT) achieves high visual fidelity through bidirectional spatio-temporal modeling, but complete-clip dependence incurs prohibitive latency and computational overhead in practical con…
Virtual Try-onInstructVVT: Instruction-Driven Video Virtual Try-On without Auxiliary Spatial Priors
Video virtual try-on is a highly constrained editing task requiring the precise replacement of a target person's clothing while strictly preserving the original video's spatial structure and temporal dynamics. Existing m…
Virtual Try-onControllable Clothing: Precise Labels and Generation for Virtual Try-On with Latent Diffusion Models
In this technical report, I present a new method for guiding image generation in the context of Virtual- Try-On (VITON). The proposed method leverages new open source Ai models to augment the image data with labels, such…
Image GenerationVirtual Try-onUniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on
Video Virtual Try-On (VVT) synthesizes a video of a person wearing a target garment while preserving identity, motion, and scene dynamics. Dominant approaches cast VVT as mask-conditioned video inpainting and rely on sep…
Video GenerationVideo InpaintingPose EstimationVirtual Try-onFashion-3DLR: A Controllable 3D Garment Generation Using Pairwise Fashion Elements for Intelligent Design
AI-generated content (AIGC) has made significant progress, with 2D generative models becoming ready-to-use tools for the digital fashion industry. However, 3D garment generation remains in its nascent stage, where in the…
Virtual Try-on