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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 276 papers

TitleStatusHype
DeepIron: Predicting Unwarped Garment Texture from a Single Image—0
3D Reconstruction of Clothes using a Human Body Model and its Application to Image-based Virtual Try-On—0
Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models—0
GlamTry: Advancing Virtual Try-On for High-End Accessories—0
GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows with Neighborhood Integrity Preservation for Virtual Try-on—0
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example—0
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping—0
GarmentGAN: Photo-realistic Adversarial Fashion Transfer—0
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)—0
GAN-based Garment Generation Using Sewing Pattern Images—0
FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On—0
GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splatting—0
HF-VTON: High-Fidelity Virtual Try-On via Consistent Geometric and Semantic Alignment—0
Hierarchical Cross-Attention Network for Virtual Try-On—0
Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfer—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On—0
Human Body Shape Classification Based on a Single Image—0
Full-Range Virtual Try-On With Recurrent Tri-Level Transform—0
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation—0
Human Image Generation: A Comprehensive Survey—0
DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On—0
From Keypoints to Realism: A Realistic and Accurate Virtual Try-on Network from 2D Images—0
CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors—0
Better Fit: Accommodate Variations in Clothing Types for Virtual Try-on—0
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All datasetsVITONVITON-HDDeep-FashionMPVDress CodeFashionIQMicrosoft COCO datasetStreetTryOnUBC Fashion Videos

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1C-VTONFID19.54—Unverified
2PSADFID13.71—Unverified
3RT-VTONFID11.66—Unverified
4SDAFNFID10.97—Unverified
5PF-AFNFID10.09—Unverified
6Flow-Style-VTONFID8.89—Unverified
7CloTH-VTON+SSIM0.89—Unverified
8ACGPNSSIM0.85—Unverified
9ClothFlowSSIM0.84—Unverified
10CP-VTON+SSIM0.82—Unverified
#ModelMetricClaimedVerifiedStatus
1VITON-HDFID11.74—Unverified
2HR-VITONFID10.91—Unverified
3StableVITONFID8.23—Unverified
4IDM-VTONFID6.29—Unverified
5FItDiTFID4.73—Unverified
#ModelMetricClaimedVerifiedStatus
1MG-VTONIS3.03—Unverified
2Poly-GANIS2.79—Unverified
#ModelMetricClaimedVerifiedStatus
1DGPFID48.4—Unverified
2PF-AFNFID6.43—Unverified
#ModelMetricClaimedVerifiedStatus
1LeffaFID2.06—Unverified
#ModelMetricClaimedVerifiedStatus
1mm10 fold Cross validation66—Unverified
#ModelMetricClaimedVerifiedStatus
1VTON-ITSSIM0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1Street TryOnFID33.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Fashion-VDMFVD172—Unverified