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 1–50 of 276 papers

TitleStatusHype
TalkFashion: Intelligent Virtual Try-On Assistant Based on Multimodal Large Language Model—0
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter—0
Real-Time Per-Garment Virtual Try-On with Temporal Consistency for Loose-Fitting GarmentsCode1
Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-OnCode1
VITON-DRR: Details Retention Virtual Try-on via Non-rigid RegistrationCode0
Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed IndividualsCode1
VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on ModelsCode1
HF-VTON: High-Fidelity Virtual Try-On via Consistent Geometric and Semantic Alignment—0
Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction—0
Incorporating Visual Correspondence into Diffusion Model for Virtual Try-OnCode1
FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model—0
Insert Anything: Image Insertion via In-Context Editing in DiT—0
Shape-Guided Clothing Warping for Virtual Try-OnCode1
Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation—0
Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-OffCode2
Flux Already Knows -- Activating Subject-Driven Image Generation without TrainingCode2
Single View Garment Reconstruction Using Diffusion Mapping Via Pattern CoordinatesCode1
From Keypoints to Realism: A Realistic and Accurate Virtual Try-on Network from 2D Images—0
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On—0
Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stage—0
Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model—0
Concat-ID: Towards Universal Identity-Preserving Video SynthesisCode2
Limb-Aware Virtual Try-On Network with Progressive Clothing WarpingCode0
Progressive Limb-Aware Virtual Try-OnCode0
VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction—0
MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input—0
CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors—0
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics—0
Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks—0
Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion Models—0
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter—0
CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal ConcatenationCode3
EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process—0
Disharmony: Forensics using Reverse Lighting Harmonization—0
RealVVT: Towards Photorealistic Video Virtual Try-on via Spatio-Temporal Consistency—0
ODPG: Outfitting Diffusion with Pose Guided Condition—0
1-2-1: Renaissance of Single-Network Paradigm for Virtual Try-On—0
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling—0
HYB-VITON: A Hybrid Approach to Virtual Try-On Combining Explicit and Implicit WarpingCode0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control—0
Robust-MVTON: Learning Cross-Pose Feature Alignment and Fusion for Robust Multi-View Virtual Try-On—0
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images—0
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware MaskCode3
DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On—0
FashionComposer: Compositional Fashion Image Generation—0
Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On—0
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism—0
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models—0
Learning Flow Fields in Attention for Controllable Person Image GenerationCode5
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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