mlsanityData to 7 Oct 2026

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

arXiv 1901.07973 ↗First posted 23 Jan 2019cs.CVcited by 132

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Abstract (arXiv)

Understanding fashion images has been advanced by benchmarks with rich annotations such as DeepFashion, whose labels include clothing categories, landmarks, and consumer-commercial image pairs. However, DeepFashion has nonnegligible issues such as single clothing-item per image, sparse landmarks (4~8 only), and no per-pixel masks, making it had significant gap from real-world scenarios. We fill in the gap by presenting DeepFashion2 to address these issues. It is a versatile benchmark of four tasks including clothes detection, pose estimation, segmentation, and retrieval. It has 801K clothing items where each item has rich annotations such as style, scale, viewpoint, occlusion, bounding box, dense landmarks and masks. There are also 873K Commercial-Consumer clothes pairs. A strong baseline is proposed, called Match R-CNN, which builds upon Mask R-CNN to solve the above four tasks in an end-to-end manner. Extensive evaluations are conducted with different criterions in DeepFashion2.

Key facts. Cited by 132 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jan 2019.

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Citing papers per year: 2021: 22; 2022: 23; 2023: 31; 2024: 20; 2025: 20; 2026: 16.

132 papers.

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  1. 2021GAN Inversion: A Surveycited by 366
  2. 2022ECON: Explicit Clothed humans Optimized via Normal integrationcited by 199
  3. 2023DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusioncited by 167
  4. 2023DisCo: Disentangled Control for Realistic Human Dance Generationcited by 141
  5. 2021Fine-Grained Image Analysis with Deep Learning: A Surveycited by 135
  6. 2023MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusioncited by 115
  7. 2023TeCH: Text-guided Reconstruction of Lifelike Clothed Humanscited by 104
  8. 2024CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Modelscited by 99
  9. 2022"This is my unicorn, Fluffy": Personalizing frozen vision-language representationscited by 95
  10. 2025Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Taskscited by 62
  11. 2023UniHCP: A Unified Model for Human-Centric Perceptionscited by 59
  12. 2023Linear Spaces of Meanings: Compositional Structures in Vision-Language Modelscited by 48
38 more
  1. 2024Diffusion Model-Based Video Editing: A Surveycited by 44
  2. 20223D Clothed Human Reconstruction in the Wildcited by 41
  3. 2022Pose for Everything: Towards Category-Agnostic Pose Estimationcited by 36
  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. 2023REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videoscited by 29
  7. 2021Few-shot Keypoint Detection with Uncertainty Learning for Unseen Speciescited by 27
  8. 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
  9. 2021Compatibility-aware Heterogeneous Visual Searchcited by 22
  10. 2023Hulk: A Universal Knowledge Translator for Human-Centric Taskscited by 22
  11. 2023X-Pose: Detecting Any Keypointscited by 21
  12. 2022Dressing in the Wild by Watching Dance Videoscited by 20
  13. 2025Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physicscited by 19
  14. 2023Deep Learning Technique for Human Parsing: A Survey and Outlookcited by 18
  15. 2023ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulationcited by 18
  16. 2024When Does Perceptual Alignment Benefit Vision Representations?cited by 18
  17. 2024TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Modelscited by 18
  18. 2022Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identificationcited by 17
  19. 2022Rethinking Few-Shot Object Detection on a Multi-Domain Benchmarkcited by 17
  20. 2023A Survey on Semi-Supervised Semantic Segmentationcited by 16
  21. 2023Meta-Personalizing Vision-Language Models to Find Named Instances in Videocited by 16
  22. 2025AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generationcited by 16
  23. 2021Ethics and Creativity in Computer Visioncited by 15
  24. 2021Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systemscited by 13
  25. 2024IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generationcited by 11
  26. 2021Transfer Learning for Pose Estimation of Illustrated Characterscited by 10
  27. 2021Weakly Supervised High-Fidelity Clothing Model Generationcited by 9
  28. 2024CapeX: Category-Agnostic Pose Estimation from Textual Point Explanationcited by 9
  29. 2024Personalized Representation from Personalized Generationcited by 9
  30. 2025OmniVTON: Training-Free Universal Virtual Try-Oncited by 9
  31. 2023From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detectioncited by 8
  32. 2021eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challengescited by 6
  33. 2021MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samplescited by 6
  34. 2022UIGR: Unified Interactive Garment Retrievalcited by 6
  35. 2022FashionVQA: A Domain-Specific Visual Question Answering Systemcited by 6
  36. 2023Non-adversarial Robustness of Deep Learning Methods for Computer Visioncited by 6
  37. 2026LookBench: A Live and Holistic Open Benchmark for Fashion Image Retrievalcited by 6
  38. 2021Neural Fashion Image Captioning : Accounting for Data Diversitycited by 5

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