mlsanityData to 14 Oct 2026

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

arXiv 2312.01725 ↗First posted 4 Dec 2023cs.CVcited by 175

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

Given a clothing image and a person image, an image-based virtual try-on aims to generate a customized image that appears natural and accurately reflects the characteristics of the clothing image. In this work, we aim to expand the applicability of the pre-trained diffusion model so that it can be utilized independently for the virtual try-on task.The main challenge is to preserve the clothing details while effectively utilizing the robust generative capability of the pre-trained model. In order to tackle these issues, we propose StableVITON, learning the semantic correspondence between the clothing and the human body within the latent space of the pre-trained diffusion model in an end-to-end manner. Our proposed zero cross-attention blocks not only preserve the clothing details by learning the semantic correspondence but also generate high-fidelity images by utilizing the inherent knowledge of the pre-trained model in the warping process. Through our proposed novel attention total variation loss and applying augmentation, we achieve the sharp attention map, resulting in a more precise representation of clothing details. StableVITON outperforms the baselines in qualitative and quantitative evaluation, showing promising quality in arbitrary person images. Our code is available at https://github.com/rlawjdghek/StableVITON.

Key facts. Cited by 175 papers in the map (data through 14 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 33 of its 39 references that are in the map. First posted on arXiv 4 Dec 2023.

Builds on

33 of 39 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow11 Aug
  2. 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On22 May
  3. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Models24 Jan

Other references · 30

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  5. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  6. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,355
  7. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  8. 2021Zero-Shot Text-to-Image Generationcited by 4,288
  9. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
  10. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  11. 2018Demystifying MMD GANscited by 1,293
  12. 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 781
18 more
  1. 2022Pseudo Numerical Methods for Diffusion Models on Manifoldscited by 700
  2. 2018DensePose: Dense Human Pose Estimation In The Wildcited by 575
  3. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
  4. 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
  5. 2022Inversion-Based Style Transfer with Diffusion Modelscited by 291
  6. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
  7. 2017VITON: An Image-based Virtual Try-on Networkcited by 286
  8. 2018Toward Characteristic-Preserving Image-based Virtual Try-On Networkcited by 192
  9. 2016View Synthesis by Appearance Flowcited by 172
  10. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 162
  11. 2020Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingleftrightarrowPreserving Image Contentcited by 149
  12. 2022StyleGAN-Human: A Data-Centric Odyssey of Human Generationcited by 144
  13. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 143
  14. 2023TryOnDiffusion: A Tale of Two UNetscited by 141
  15. 2022High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditionscited by 130
  16. 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
  17. 2020Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-Oncited by 77
  18. 2022Single Stage Virtual Try-on via Deformable Attention Flowscited by 65

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 55; 2025: 78; 2026: 41.

175 papers.

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  1. 2024Diffusion Model-Based Image Editing: A Surveycited by 212
  2. 2024OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-oncited by 151
  3. 2024Improving Diffusion Models for Authentic Virtual Try-on in the Wildcited by 109
  4. 2024CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Modelscited by 102
  5. 2024UniReal: Universal Image Generation and Editing via Learning Real-world Dynamicscited by 102
  6. 2024IMAGDressing-v1: Customizable Virtual Dressingcited by 100
  7. 2025Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Taskscited by 63
  8. 2024Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignmentcited by 43
  9. 2024ViViD: Video Virtual Try-on using Diffusion Modelscited by 42
  10. 2024FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-oncited by 40
  11. 2024BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Trainingcited by 37
  12. 2024Stable-Hair: Real-World Hair Transfer via Diffusion Modelcited by 35
38 more
  1. 2024Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videoscited by 32
  2. 2024T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Modelscited by 29
  3. 2024Conditional Image Synthesis with Diffusion Models: A Surveycited by 29
  4. 2024StableGarment: Garment-Centric Generation via Stable Diffusioncited by 27
  5. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  6. 2024MV-VTON: Multi-View Virtual Try-On with Diffusion Modelscited by 25
  7. 2025CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenationcited by 25
  8. 2024MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generationcited by 23
  9. 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenariocited by 23
  10. 2025OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulationcited by 19
  11. 2024UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generationcited by 17
  12. 2025DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Frameworkcited by 17
  13. 2024Fashion-VDM: Video Diffusion Model for Virtual Try-Oncited by 16
  14. 2025MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-oncited by 15
  15. 2024GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splattingcited by 13
  16. 2025OmniTry: Virtual Try-On Anything without Maskscited by 13
  17. 2024Multimodal Latent Diffusion Model for Complex Sewing Pattern Generationcited by 12
  18. 2024VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformerscited by 11
  19. 2024Replication in Visual Diffusion Models: A Survey and Outlookcited by 11
  20. 2024VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embeddingcited by 11
  21. 2025Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interactioncited by 11
  22. 2025FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Modelscited by 11
  23. 2025VTON 360: High-Fidelity Virtual Try-On from Any Viewing Directioncited by 10
  24. 2025ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-Oncited by 10
  25. 2024DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encodercited by 9
  26. 2025OmniVTON: Training-Free Universal Virtual Try-Oncited by 9
  27. 2025MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generationcited by 9
  28. 2024What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfercited by 8
  29. 2024AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editingcited by 8
  30. 2024HumanVLM: Foundation for Human-Scene Vision-Language Modelcited by 8
  31. 2025Incorporating Visual Correspondence into Diffusion Model for Virtual Try-Oncited by 8
  32. 2025Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Offcited by 8
  33. 2024AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Modelscited by 7
  34. 2024Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanismcited by 7
  35. 2025Visual Persona: Foundation Model for Full-Body Human Customizationcited by 7
  36. 2025ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generationcited by 7
  37. 2025Eevee: Towards Close-up High-resolution Video-based Virtual Try-oncited by 7
  38. 2025Multi-focal Conditioned Latent Diffusion for Person Image Synthesiscited by 6

50 most cited of 175 All 175 (JSON)

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  1. 2024Improving Virtual Try-On with Garment-focused Diffusion Models
  2. 2025EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
  3. 2024FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
  4. 2024Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
  5. 2024M&M VTO: Multi-Garment Virtual Try-On and Editing
  6. 2026Neural Clothing Tryer: Customized Virtual Try-On via Semantic Enhancement and Controlling Diffusion Model
  7. 2025TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer
  8. 2024TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models