mlsanityData to 14 Oct 2026

Toward Accurate and Realistic Outfits Visualization with Attention to Details

arXiv 2106.06593 ↗First posted 11 Jun 2021cs.CV cs.GR cs.LGcited by 33

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Abstract (arXiv)

Virtual try-on methods aim to generate images of fashion models wearing arbitrary combinations of garments. This is a challenging task because the generated image must appear realistic and accurately display the interaction between garments. Prior works produce images that are filled with artifacts and fail to capture important visual details necessary for commercial applications. We propose Outfit Visualization Net (OVNet) to capture these important details (e.g. buttons, shading, textures, realistic hemlines, and interactions between garments) and produce high quality multiple-garment virtual try-on images. OVNet consists of 1) a semantic layout generator and 2) an image generation pipeline using multiple coordinated warps. We train the warper to output multiple warps using a cascade loss, which refines each successive warp to focus on poorly generated regions of a previous warp and yields consistent improvements in detail. In addition, we introduce a method for matching outfits with the most suitable model and produce significant improvements for both our and other previous try-on methods. Through quantitative and qualitative analysis, we demonstrate our method generates substantially higher-quality studio images compared to prior works for multi-garment outfits. An interactive interface powered by this method has been deployed on fashion e-commerce websites and received overwhelmingly positive feedback.

Key facts. Cited by 33 papers in the map (data through 14 Oct 2026). Builds on 45 of its 65 references that are in the map. First posted on arXiv 11 Jun 2021.

Builds on

45 of 65 references.

References · 45

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33 more
  1. 2019PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitizationcited by 818
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  6. 2018DensePose: Dense Human Pose Estimation In The Wildcited by 575
  7. 2018Image Inpainting for Irregular Holes Using Partial Convolutionscited by 505
  8. 2016Convolutional Pose Machinescited by 325
  9. 2017VITON: An Image-based Virtual Try-on Networkcited by 286
  10. 2017Hand Keypoint Detection in Single Images using Multiview Bootstrappingcited by 231
  11. 2018Toward Characteristic-Preserving Image-based Virtual Try-On Networkcited by 192
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  15. 2020TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Stylecited by 149
  16. 2020Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingleftrightarrowPreserving Image Contentcited by 149
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  33. 2019Down to the Last Detail: Virtual Try-on with Detail Carvingcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 7; 2023: 7; 2024: 11; 2025: 6; 2026: 2.

33 papers.

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  1. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 162
  2. 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-Oncited by 152
  3. 2022High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditionscited by 130
  4. 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
  5. 2024IMAGDressing-v1: Customizable Virtual Dressingcited by 100
  6. 2022Single Stage Virtual Try-on via Deformable Attention Flowscited by 65
  7. 2023CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Modelcited by 48
  8. 2024Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-Oncited by 38
  9. 2024StableGarment: Garment-Centric Generation via Stable Diffusioncited by 27
  10. 2024MV-VTON: Multi-View Virtual Try-On with Diffusion Modelscited by 25
  11. 2024GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Promptingcited by 22
  12. 2023Image-Based Virtual Try-On: A Surveycited by 19
21 more
  1. 2023WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-oncited by 18
  2. 2024Improving Virtual Try-On with Garment-focused Diffusion Modelscited by 15
  3. 2022HS-Diffusion: Semantic-Mixing Diffusion for Head Swappingcited by 13
  4. 2024FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-oncited by 13
  5. 2025Incorporating Visual Correspondence into Diffusion Model for Virtual Try-Oncited by 8
  6. 2024AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Modelscited by 7
  7. 2025VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Modelscited by 6
  8. 2023Learning Garment DensePose for Robust Warping in Virtual Try-Oncited by 5
  9. 2025Limb-Aware Virtual Try-On Network with Progressive Clothing Warpingcited by 5
  10. 2022Modern Augmented Reality: Applications, Trends, and Future Directionscited by 3
  11. 2025Progressive Limb-Aware Virtual Try-Oncited by 3
  12. 2022WG-VITON: Wearing-Guide Virtual Try-On for Top and Bottom Clothescited by 2
  13. 2024ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-Oncited by 2
  14. 2025SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Modelscited by 2
  15. 2023GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows with Neighborhood Integrity Preservation for Virtual Try-oncited by 1
  16. 2024SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Makingcited by 1
  17. 2024Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-Oncited by 1
  18. 2026OmniDiT: Extending Diffusion Transformer to Omni-VTON Frameworkcited by 1
  19. 2022Wearing the Same Outfit in Different Ways -- A Controllable Virtual Try-on Methodcited by 0
  20. 2025Two-Way Garment Transfer: Unified Diffusion Framework for Dressing and Undressing Synthesiscited by 0
  21. 2026Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Conditioncited by 0