mlsanityData to 7 Oct 2026

OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

arXiv 2403.01779 ↗First posted 4 Mar 2024cs.CVcited by 150

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

Abstract (arXiv)

We present OOTDiffusion, a novel network architecture for realistic and controllable image-based virtual try-on (VTON). We leverage the power of pretrained latent diffusion models, designing an outfitting UNet to learn the garment detail features. Without a redundant warping process, the garment features are precisely aligned with the target human body via the proposed outfitting fusion in the self-attention layers of the denoising UNet. In order to further enhance the controllability, we introduce outfitting dropout to the training process, which enables us to adjust the strength of the garment features through classifier-free guidance. Our comprehensive experiments on the VITON-HD and Dress Code datasets demonstrate that OOTDiffusion efficiently generates high-quality try-on results for arbitrary human and garment images, which outperforms other VTON methods in both realism and controllability, indicating an impressive breakthrough in virtual try-on. Our source code is available at https://github.com/levihsu/OOTDiffusion.

Key facts. Cited by 150 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 51 of its 61 references that are in the map. First posted on arXiv 4 Mar 2024.

Builds on

51 of 61 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On4 Dec
  2. 2023Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow11 Aug
  3. 2023LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On22 May

Other references · 48

  1. 2017Attention Is All You Needcited by 59,932
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  5. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  6. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  7. 2022Classifier-Free Diffusion Guidancecited by 5,717
  8. 2022Generative Adversarial Networkscited by 5,603
  9. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  10. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  11. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  12. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
36 more
  1. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  2. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  3. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  4. 2017Decoupled Weight Decay Regularizationcited by 1,722
  5. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  6. 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,439
  7. 2023T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Modelscited by 1,339
  8. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  9. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
  10. 2018Demystifying MMD GANscited by 1,268
  11. 2022Imagic: Text-Based Real Image Editing with Diffusion Modelscited by 1,172
  12. 2022Null-text Inversion for Editing Real Images using Guided Diffusion Modelscited by 1,168
  13. 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
  14. 2022Multi-Concept Customization of Text-to-Image Diffusioncited by 1,099
  15. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
  16. 2022Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationcited by 897
  17. 2023Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animationcited by 683
  18. 2023Zero-shot Image-to-Image Translationcited by 503
  19. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
  20. 2023UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Modelscited by 441
  21. 2016Convolutional Pose Machinescited by 325
  22. 2021VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalizationcited by 287
  23. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  24. 2017Hand Keypoint Detection in Single Images using Multiview Bootstrappingcited by 231
  25. 2018Toward Characteristic-Preserving Image-based Virtual Try-On Networkcited by 192
  26. 2019Self-Correction for Human Parsingcited by 179
  27. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 161
  28. 2020Towards Photo-Realistic Virtual Try-On by Adaptively GeneratingleftrightarrowPreserving Image Contentcited by 148
  29. 2021Parser-Free Virtual Try-on via Distilling Appearance Flowscited by 142
  30. 2023TryOnDiffusion: A Tale of Two UNetscited by 141
  31. 2022High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditionscited by 129
  32. 2023GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learningcited by 120
  33. 2019Towards Multi-pose Guided Virtual Try-on Networkcited by 95
  34. 2022Style-Based Global Appearance Flow for Virtual Try-Oncited by 88
  35. 2020Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-Oncited by 77
  36. 2021Disentangled Cycle Consistency for Highly-realistic Virtual Try-Oncited by 62

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 37; 2025: 61; 2026: 52.

150 papers.

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  1. 2024Improving Diffusion Models for Authentic Virtual Try-on in the Wildcited by 109
  2. 2024IMAGDressing-v1: Customizable Virtual Dressingcited by 100
  3. 2024UniReal: Universal Image Generation and Editing via Learning Real-world Dynamicscited by 100
  4. 2024CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Modelscited by 99
  5. 2025Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Taskscited by 62
  6. 2025Insert Anything: Image Insertion via In-Context Editing in DiTcited by 61
  7. 2024Efficient Diffusion Models: A Comprehensive Survey from Principles to Practicescited by 39
  8. 2024FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-oncited by 39
  9. 2024ViViD: Video Virtual Try-on using Diffusion Modelscited by 38
  10. 2024BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Trainingcited by 36
  11. 2025IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Designcited by 36
  12. 2024Stable-Hair: Real-World Hair Transfer via Diffusion Modelcited by 34
38 more
  1. 2024Learning Flow Fields in Attention for Controllable Person Image Generationcited by 27
  2. 2024MV-VTON: Multi-View Virtual Try-On with Diffusion Modelscited by 25
  3. 2024Magic Clothing: Controllable Garment-Driven Image Synthesiscited by 23
  4. 2024MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generationcited by 22
  5. 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenariocited by 22
  6. 2025CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenationcited by 22
  7. 2024TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Modelscited by 18
  8. 2024OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Personcited by 16
  9. 2024DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Posescited by 16
  10. 2024GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splattingcited by 13
  11. 2025OmniTry: Virtual Try-On Anything without Maskscited by 13
  12. 2025MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-oncited by 12
  13. 2025DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Frameworkcited by 12
  14. 2024VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformerscited by 11
  15. 2024VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embeddingcited by 11
  16. 2024TKG-DM: Training-free Chroma Key Content Generation Diffusion Modelcited by 11
  17. 2025Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interactioncited by 11
  18. 2025FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Modelscited by 11
  19. 2025VTON 360: High-Fidelity Virtual Try-On from Any Viewing Directioncited by 10
  20. 2025IC-Custom: Diverse Image Customization via In-Context Learningcited by 10
  21. 2024DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encodercited by 9
  22. 2025OmniVTON: Training-Free Universal Virtual Try-Oncited by 9
  23. 2025Incorporating Visual Correspondence into Diffusion Model for Virtual Try-Oncited by 8
  24. 2025Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Offcited by 8
  25. 2025MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generationcited by 8
  26. 2024MagicFace: Training-free Universal-Style Human Image Customized Synthesiscited by 7
  27. 2024AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Modelscited by 7
  28. 2025MagicFace: High-Fidelity Facial Expression Editing with Action-Unit Controlcited by 7
  29. 2025JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-oncited by 7
  30. 2025ComposeMe: Attribute-Specific Image Prompts for Controllable Human Image Generationcited by 7
  31. 2024Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generationcited by 6
  32. 2024pOps: Photo-Inspired Diffusion Operatorscited by 6
  33. 2024Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanismcited by 6
  34. 2025Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Modelcited by 6
  35. 2025MGT: Extending Virtual Try-Off to Multi-Garment Scenarioscited by 6
  36. 2025VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Modelscited by 6
  37. 2024Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editingcited by 5
  38. 2024IGR: Improving Diffusion Model for Garment Restoration from Person Imagecited by 5

50 most cited of 150 All 150 (JSON)

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  1. 2026GO-MLVTON: Garment Occlusion-Aware Multi-Layer Virtual Try-On with Diffusion Models
  2. 2024FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
  3. 2023WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on
  4. 2024Improving Virtual Try-On with Garment-focused Diffusion Models
  5. 2025EfficientVITON: An Efficient Virtual Try-On Model using Optimized Diffusion Process
  6. 2026Neural Clothing Tryer: Customized Virtual Try-On via Semantic Enhancement and Controlling Diffusion Model
  7. 2024WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
  8. 2024M&M VTO: Multi-Garment Virtual Try-On and Editing