mlsanityData to 7 Oct 2026

Dress Code: High-Resolution Multi-Category Virtual Try-On

arXiv 2204.08532 ↗First posted 18 Apr 2022cs.CV cs.AI cs.GRcited by 161

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Cited by 66 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Image-based virtual try-on strives to transfer the appearance of a clothing item onto the image of a target person. Prior work focuses mainly on upper-body clothes (e.g. t-shirts, shirts, and tops) and neglects full-body or lower-body items. This shortcoming arises from a main factor: current publicly available datasets for image-based virtual try-on do not account for this variety, thus limiting progress in the field. To address this deficiency, we introduce Dress Code, which contains images of multi-category clothes. Dress Code is more than 3x larger than publicly available datasets for image-based virtual try-on and features high-resolution paired images (1024x768) with front-view, full-body reference models. To generate HD try-on images with high visual quality and rich in details, we propose to learn fine-grained discriminating features. Specifically, we leverage a semantic-aware discriminator that makes predictions at pixel-level instead of image- or patch-level. Extensive experimental evaluation demonstrates that the proposed approach surpasses the baselines and state-of-the-art competitors in terms of visual quality and quantitative results. The Dress Code dataset is publicly available at https://github.com/aimagelab/dress-code.

Key facts. Cited by 161 papers in the map (data through 7 Oct 2026). Builds on 36 of its 51 references that are in the map. First posted on arXiv 18 Apr 2022.

Builds on

36 of 51 references.

References · 36

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  12. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
24 more
  1. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  2. 2017GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibriumcited by 208
  3. 2018Toward Characteristic-Preserving Image-based Virtual Try-On Networkcited by 192
  4. 2019Self-Correction for Human Parsingcited by 179
  5. 2020Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingleftrightarrowPreserving Image Contentcited by 148
  6. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 142
  7. 2017Convolutional neural network architecture for geometric matchingcited by 138
  8. 2020You Only Need Adversarial Supervision for Semantic Image Synthesiscited by 129
  9. 2019Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesiscited by 108
  10. 2020Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Imagescited by 101
  11. 2019Towards Multi-pose Guided Virtual Try-on Networkcited by 95
  12. 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
  13. 2021Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-Oncited by 81
  14. 2020Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-Oncited by 77
  15. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62
  16. 2020Learning to Transfer Texture from Clothing Images to 3D Humanscited by 58
  17. 2021Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editingcited by 54
  18. 2021Toward Accurate and Realistic Outfits Visualization with Attention to Detailscited by 33
  19. 2021TryOnGAN: Body-Aware Try-On via Layered Interpolationcited by 31
  20. 2021M3D-VTON: A Monocular-to-3D Virtual Try-On Networkcited by 31
  21. 2016Pixel-Level Domain Transfercited by 25
  22. 2020SieveNet: A Unified Framework for Robust Image-Based Virtual Try-Oncited by 23
  23. 2019Generating High-Resolution Fashion Model Images Wearing Custom Outfitscited by 15
  24. 2021Cloth Interactive Transformer for Virtual Try-Oncited by 15

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 17; 2024: 53; 2025: 49; 2026: 40.

161 papers.

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  1. 2023StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-Oncited by 173
  2. 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-Oncited by 151
  3. 2024OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-oncited by 150
  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. 2024Improving Diffusion Models for Authentic Virtual Try-on in the Wildcited by 109
  7. 2024IMAGDressing-v1: Customizable Virtual Dressingcited by 100
  8. 2024CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Modelscited by 99
  9. 2023Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editingcited by 62
  10. 2025Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Taskscited by 62
  11. 2024ACE: All-round Creator and Editor Following Instructions via Diffusion Transformercited by 56
  12. 2023CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Modelcited by 48
38 more
  1. 2024Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignmentcited by 42
  2. 2024FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-oncited by 39
  3. 2024ViViD: Video Virtual Try-on using Diffusion Modelscited by 38
  4. 2024BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Trainingcited by 36
  5. 2023Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Imagescited by 34
  6. 2024Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videoscited by 32
  7. 2024M&M VTO: Multi-Garment Virtual Try-On and Editingcited by 29
  8. 2024StableGarment: Garment-Centric Generation via Stable Diffusioncited by 27
  9. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  10. 2024MV-VTON: Multi-View Virtual Try-On with Diffusion Modelscited by 25
  11. 2024Magic Clothing: Controllable Garment-Driven Image Synthesiscited by 23
  12. 2024MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generationcited by 22
  13. 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenariocited by 22
  14. 2024WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Modelscited by 22
  15. 2023Image-Based Virtual Try-On: A Surveycited by 19
  16. 2023WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-oncited by 18
  17. 2024TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Modelscited by 18
  18. 2024From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generationcited by 17
  19. 2024Improving Virtual Try-On with Garment-focused Diffusion Modelscited by 15
  20. 2023PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsignscited by 14
  21. 2024D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-Oncited by 14
  22. 2024FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-oncited by 13
  23. 2025OmniTry: Virtual Try-On Anything without Maskscited by 13
  24. 2023UniHuman: A Unified Model for Editing Human Images in the Wildcited by 12
  25. 2024Multimodal Latent Diffusion Model for Complex Sewing Pattern Generationcited by 12
  26. 2025MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-oncited by 12
  27. 2025DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Frameworkcited by 12
  28. 2022Human Image Generation: A Comprehensive Surveycited by 11
  29. 2024VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embeddingcited by 11
  30. 2025Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interactioncited by 11
  31. 2025ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-Oncited by 10
  32. 2023OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Datacited by 9
  33. 2024DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encodercited by 9
  34. 2025OmniVTON: Training-Free Universal Virtual Try-Oncited by 9
  35. 2025Incorporating Visual Correspondence into Diffusion Model for Virtual Try-Oncited by 8
  36. 2025Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Offcited by 8
  37. 2024AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Modelscited by 7
  38. 2025ShoulderShot: Generating Over-the-Shoulder Dialogue Videoscited by 7

50 most cited of 161 All 161 (JSON)