mlsanityData to 7 Oct 2026

COutfitGAN: Learning to Synthesize Compatible Outfits Supervised by Silhouette Masks and Fashion Styles

arXiv 2502.08674 ↗First posted 12 Feb 2025cs.CV cs.GR cs.MMcited by 2

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Abstract (arXiv)

How to recommend outfits has gained considerable attention in both academia and industry in recent years. Many studies have been carried out regarding fashion compatibility learning, to determine whether the fashion items in an outfit are compatible or not. These methods mainly focus on evaluating the compatibility of existing outfits and rarely consider applying such knowledge to 'design' new fashion items. We propose the new task of generating complementary and compatible fashion items based on an arbitrary number of given fashion items. In particular, given some fashion items that can make up an outfit, the aim of this paper is to synthesize photo-realistic images of other, complementary, fashion items that are compatible with the given ones. To achieve this, we propose an outfit generation framework, referred to as COutfitGAN, which includes a pyramid style extractor, an outfit generator, a UNet-based real/fake discriminator, and a collocation discriminator. To train and evaluate this framework, we collected a large-scale fashion outfit dataset with over 200K outfits and 800K fashion items from the Internet. Extensive experiments show that COutfitGAN outperforms other baselines in terms of similarity, authenticity, and compatibility measurements.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 36 of its 58 references that are in the map. First posted on arXiv 12 Feb 2025.

Builds on

36 of 58 references.

References · 36

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  4. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  5. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  6. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  7. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  8. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  9. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,898
  10. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,471
  11. 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,176
  12. 2019StarGAN v2: Diverse Image Synthesis for Multiple Domainscited by 1,095
24 more
  1. 2018Multimodal Unsupervised Image-to-Image Translationcited by 795
  2. 2020Encoding in Style: a StyleGAN Encoder for Image-to-Image Translationcited by 727
  3. 2015Image-based Recommendations on Styles and Substitutescited by 702
  4. 2014Distributed Representations of Sentences and Documentscited by 677
  5. 2019Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?cited by 675
  6. 2018Which Training Methods for GANs do actually Converge?cited by 672
  7. 2020Contrastive Learning for Unpaired Image-to-Image Translationcited by 637
  8. 2021Designing an Encoder for StyleGAN Image Manipulationcited by 542
  9. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  10. 2019A Simple Pooling-Based Design for Real-Time Salient Object Detectioncited by 211
  11. 2020Semantic Photo Manipulation with a Generative Image Priorcited by 178
  12. 2019Progressive Pose Attention Transfer for Person Image Generationcited by 138
  13. 2020A U-Net Based Discriminator for Generative Adversarial Networkscited by 128
  14. 2017Learning Fashion Compatibility with Bidirectional LSTMscited by 69
  15. 2021Image-to-image Translation via Hierarchical Style Disentanglementcited by 63
  16. 2018Learning Type-Aware Embeddings for Fashion Compatibilitycited by 61
  17. 2020Lifespan Age Transformation Synthesiscited by 60
  18. 2015Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrencescited by 33
  19. 2020Hierarchical Fashion Graph Network for Personalized Outfit Recommendationcited by 27
  20. 2019Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networkscited by 26
  21. 2019Fashion++: Minimal Edits for Outfit Improvementcited by 20
  22. 2016Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Datacited by 16
  23. 2020Self-supervised Visual Attribute Learning for Fashion Compatibilitycited by 12
  24. 2019Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Networkcited by 7

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Citing papers per year: 2025: 2.

2 papers.

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