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se-Shweshwe Inspired Fashion Generation

arXiv 2203.00435 ↗First posted 25 Feb 2022cs.CV cs.AIcited by 0

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Abstract (arXiv)

Fashion is one of the ways in which we show ourselves to the world. It is a reflection of our personal decisions and one of the ways in which people distinguish and represent themselves. In this paper, we focus on the fashion design process and expand computer vision for fashion beyond its current focus on western fashion. We discuss the history of Southern African se-Shweshwe fabric fashion, the collection of a se-Shweshwe dataset, and the application of sketch-to-design image generation for affordable fashion-design. The application to fashion raises both technical questions of training with small amounts of data, and also important questions for computer vision beyond fairness, in particular ethical considerations on creating and employing fashion datasets, and how computer vision supports cultural representation and might avoid algorithmic cultural appropriation.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 19 references that are in the map. First posted on arXiv 25 Feb 2022.

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References · 11

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  2. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  3. 2018Spectral Normalization for Generative Adversarial Networkscited by 1,618
  4. 2020Noise or Signal: The Role of Image Backgrounds in Object Recognitioncited by 342
  5. 2018Fashion-Gen: The Generative Fashion Dataset and Challengecited by 65
  6. 2018ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotationscited by 33
  7. 2017Towards the Automatic Anime Characters Creation with Generative Adversarial Networkscited by 29
  8. 2019GeoStyle: Discovering Fashion Trends and Eventscited by 21
  9. 2015Clothing Co-Parsing by Joint Image Segmentation and Labelingcited by 20
  10. 2020From Paris to Berlin: Discovering Fashion Style Influences Around the Worldcited by 10
  11. 2018Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognitioncited by 2

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