SOTAVerified

Virtual Try-on

Virtual try-on of clothing or other items such as glasses and makeup. Most recent techniques use Generative Adversarial Networks.

Papers

Showing 125 of 276 papers

TitleStatusHype
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-onCode9
M&M VTO: Multi-Garment Virtual Try-On and EditingCode7
Improving Diffusion Models for Authentic Virtual Try-on in the WildCode7
IMAGDressing-v1: Customizable Virtual DressingCode5
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion ModelsCode5
Learning Flow Fields in Attention for Controllable Person Image GenerationCode5
AnyDoor: Zero-shot Object-level Image CustomizationCode4
ViViD: Video Virtual Try-on using Diffusion ModelsCode4
FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-onCode4
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware MaskCode3
Multimodal-Conditioned Latent Diffusion Models for Fashion Image EditingCode3
MV-VTON: Multi-View Virtual Try-On with Diffusion ModelsCode3
Composer: Creative and Controllable Image Synthesis with Composable ConditionsCode3
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-OnCode3
CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal ConcatenationCode3
Dress Code: High-Resolution Multi-Category Virtual Try-OnCode2
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-OnCode2
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion ModelsCode2
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image PromptingCode2
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled ConditionsCode2
Flux Already Knows -- Activating Subject-Driven Image Generation without TrainingCode2
GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing LearningCode2
Concat-ID: Towards Universal Identity-Preserving Video SynthesisCode2
Capturing and Animation of Body and Clothing from Monocular VideoCode2
Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-OffCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1C-VTONFID19.54Unverified
2PSADFID13.71Unverified
3RT-VTONFID11.66Unverified
4SDAFNFID10.97Unverified
5PF-AFNFID10.09Unverified
6Flow-Style-VTONFID8.89Unverified
7CloTH-VTON+SSIM0.89Unverified
8ACGPNSSIM0.85Unverified
9ClothFlowSSIM0.84Unverified
10CP-VTON+SSIM0.82Unverified
#ModelMetricClaimedVerifiedStatus
1VITON-HDFID11.74Unverified
2HR-VITONFID10.91Unverified
3StableVITONFID8.23Unverified
4IDM-VTONFID6.29Unverified
5FItDiTFID4.73Unverified
#ModelMetricClaimedVerifiedStatus
1MG-VTONIS3.03Unverified
2Poly-GANIS2.79Unverified
#ModelMetricClaimedVerifiedStatus
1DGPFID48.4Unverified
2PF-AFNFID6.43Unverified
#ModelMetricClaimedVerifiedStatus
1LeffaFID2.06Unverified
#ModelMetricClaimedVerifiedStatus
1mm10 fold Cross validation66Unverified
#ModelMetricClaimedVerifiedStatus
1VTON-ITSSIM0.93Unverified
#ModelMetricClaimedVerifiedStatus
1Street TryOnFID33.04Unverified
#ModelMetricClaimedVerifiedStatus
1Fashion-VDMFVD172Unverified