mlsanityData to 7 Oct 2026

Style-Based Global Appearance Flow for Virtual Try-On

arXiv 2204.01046 ↗First posted 3 Apr 2022cs.CVcited by 88

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Cited by 28 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To achieve this, a key step is garment warping which spatially aligns the target garment with the corresponding body parts in the person image. Prior methods typically adopt a local appearance flow estimation model. They are thus intrinsically susceptible to difficult body poses/occlusions and large mis-alignments between person and garment images (see Fig.~reffig:fig1). To overcome this limitation, a novel global appearance flow estimation model is proposed in this work. For the first time, a StyleGAN based architecture is adopted for appearance flow estimation. This enables us to take advantage of a global style vector to encode a whole-image context to cope with the aforementioned challenges. To guide the StyleGAN flow generator to pay more attention to local garment deformation, a flow refinement module is introduced to add local context. Experiment results on a popular virtual try-on benchmark show that our method achieves new state-of-the-art performance. It is particularly effective in a `in-the-wild' application scenario where the reference image is full-body resulting in a large mis-alignment with the garment image (Fig.~reffig:fig1 Top). Code is available at: urlhttps://github.com/SenHe/Flow-Style-VTON.

Key facts. Cited by 88 papers in the map (data through 7 Oct 2026). Builds on 36 of its 47 references that are in the map. First posted on arXiv 3 Apr 2022.

Builds on

36 of 47 references.

References · 36

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  4. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  5. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  6. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  7. 2016Improved Techniques for Training GANscited by 2,938
  8. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  9. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
  10. 2015FlowNet: Learning Optical Flow with Convolutional Networkscited by 1,054
  11. 2016FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networkscited by 780
  12. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
24 more
  1. 2018DensePose: Dense Human Pose Estimation In The Wildcited by 573
  2. 2020Closed-Form Factorization of Latent Semantics in GANscited by 407
  3. 2020InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANscited by 393
  4. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  5. 2019Multi-Garment Net: Learning to Dress 3D People from Imagescited by 244
  6. 2018Toward Characteristic-Preserving Image-based Virtual Try-On Networkcited by 192
  7. 2016View Synthesis by Appearance Flowcited by 172
  8. 2020Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingleftrightarrowPreserving Image Contentcited by 148
  9. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 142
  10. 2017Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsingcited by 109
  11. 2019Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesiscited by 106
  12. 2020Deep Image Spatial Transformation for Person Image Generationcited by 100
  13. 2020Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-Oncited by 77
  14. 2019Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Imagescited by 67
  15. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
  16. 2020Lifespan Age Transformation Synthesiscited by 60
  17. 2020Learning to Transfer Texture from Clothing Images to 3D Humanscited by 58
  18. 2017Variational Approaches for Auto-Encoding Generative Adversarial Networkscited by 52
  19. 2020Navigating the GAN Parameter Space for Semantic Image Editingcited by 49
  20. 2021WarpedGANSpace: Finding non-linear RBF paths in GAN latent spacecited by 48
  21. 2021Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGANcited by 45
  22. 2021ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priorscited by 34
  23. 2021M3D-VTON: A Monocular-to-3D Virtual Try-On Networkcited by 31
  24. 2021Disentangled Lifespan Face Synthesiscited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 9; 2023: 18; 2024: 37; 2025: 17; 2026: 7.

88 papers.

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  1. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 161
  2. 2024OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-oncited by 150
  3. 2023TryOnDiffusion: A Tale of Two UNetscited by 141
  4. 2023Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flowcited by 123
  5. 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
  6. 2023CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Modelcited by 48
  7. 2024FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-oncited by 39
  8. 2024Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-Oncited by 38
  9. 2024BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Trainingcited by 36
  10. 2023Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Imagescited by 34
  11. 2024M&M VTO: Multi-Garment Virtual Try-On and Editingcited by 29
  12. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
38 more
  1. 2024MV-VTON: Multi-View Virtual Try-On with Diffusion Modelscited by 25
  2. 2024MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generationcited by 22
  3. 2024GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Promptingcited by 22
  4. 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenariocited by 22
  5. 2024WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Modelscited by 22
  6. 2023FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversioncited by 21
  7. 2023Image-Based Virtual Try-On: A Surveycited by 19
  8. 2023WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-oncited by 18
  9. 2024OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Personcited by 16
  10. 2024Fashion-VDM: Video Diffusion Model for Virtual Try-Oncited by 16
  11. 2022PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-oncited by 15
  12. 2024Improving Virtual Try-On with Garment-focused Diffusion Modelscited by 15
  13. 2023PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsignscited by 14
  14. 2024D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-Oncited by 14
  15. 2024FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-oncited by 13
  16. 2022Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learningcited by 12
  17. 2022HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generationcited by 11
  18. 2022Human Image Generation: A Comprehensive Surveycited by 11
  19. 2024VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformerscited by 11
  20. 2024VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embeddingcited by 11
  21. 2023A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidancecited by 10
  22. 2025VTON 360: High-Fidelity Virtual Try-On from Any Viewing Directioncited by 10
  23. 2025OmniVTON: Training-Free Universal Virtual Try-Oncited by 9
  24. 2024DreamVTON: Customizing 3D Virtual Try-on with Personalized Diffusion Modelscited by 8
  25. 2025Incorporating Visual Correspondence into Diffusion Model for Virtual Try-Oncited by 8
  26. 2023PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigmcited by 7
  27. 2024AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Modelscited by 7
  28. 2025Visual Persona: Foundation Model for Full-Body Human Customizationcited by 7
  29. 2025ShoulderShot: Generating Over-the-Shoulder Dialogue Videoscited by 7
  30. 2024Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanismcited by 6
  31. 2025VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Modelscited by 6
  32. 2023Learning Garment DensePose for Robust Warping in Virtual Try-Oncited by 5
  33. 2023DM-VTON: Distilled Mobile Real-time Virtual Try-Oncited by 5
  34. 2023Total Selfie: Generating Full-Body Selfiescited by 5
  35. 2025Limb-Aware Virtual Try-On Network with Progressive Clothing Warpingcited by 5
  36. 2024Better Fit: Accommodate Variations in Clothing Types for Virtual Try-oncited by 4
  37. 2024PFDM: Parser-Free Virtual Try-on via Diffusion Modelcited by 3
  38. 2024TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-Oncited by 3

50 most cited of 88 All 88 (JSON)