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 151–200 of 276 papers

TitleStatusHype
Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos—0
USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency—0
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control—0
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter—0
Virtual Accessory Try-On via Keypoint Hallucination—0
VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction—0
WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on—0
WAS-VTON: Warping Architecture Search for Virtual Try-on Network—0
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment—0
Wearing the Same Outfit in Different Ways -- A Controllable Virtual Try-on Method—0
WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothes—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors—0
1-2-1: Renaissance of Single-Network Paradigm for Virtual Try-On—0
Human Synthesis and Scene Compositing—0
3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework—0
3D Reconstruction of Clothes using a Human Body Model and its Application to Image-based Virtual Try-On—0
4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements—0
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On—0
A generic method of wearable items virtual try-on—0
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
A Novel Garment Transfer Method Supervised by Distilled Knowledge of Virtual Try-on Model—0
Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks—0
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario—0
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing—0
ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones—0
A Simple Strategy for Body Estimation from Partial-View Images—0
A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance—0
Automated Material Properties Extraction For Enhanced Beauty Product Discovery and Makeup Virtual Try-on—0
Better Fit: Accommodate Variations in Clothing Types for Virtual Try-on—0
Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfer—0
CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer—0
Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On—0
ClotheDreamer: Text-Guided Garment Generation with 3D Gaussians—0
ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset—0
ClothFormer: Taming Video Virtual Try-On in All Module—0
CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON—0
CloTH-VTON+: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON—0
Controllable Human Image Generation with Personalized Multi-Garments—0
Creating a Large-scale Synthetic Dataset for Human Activity Recognition—0
Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion Models—0
CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors—0
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP)—0
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example—0
DeepIron: Predicting Unwarped Garment Texture from a Single Image—0
Detailed Garment Recovery from a Single-View Image—0
DH-VTON: Deep Text-Driven Virtual Try-On via Hybrid Attention Learning—0
DiCTI: Diffusion-based Clothing Designer via Text-guided Input—0
DiffusionTrend: A Minimalist Approach to Virtual Fashion 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