Chat-to-Design: AI Assisted Personalized Fashion Design
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Abstract (arXiv)
In this demo, we present Chat-to-Design, a new multimodal interaction system for personalized fashion design. Compared to classic systems that recommend apparel based on keywords, Chat-to-Design enables users to design clothes in two steps: 1) coarse-grained selection via conversation and 2) fine-grained editing via an interactive interface. It encompasses three sub-systems to deliver an immersive user experience: A conversation system empowered by natural language understanding to accept users' requests and manages dialogs; A multimodal fashion retrieval system empowered by a large-scale pretrained language-image network to retrieve requested apparel; A fashion design system empowered by emerging generative techniques to edit attributes of retrieved clothes.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 12 references that are in the map. First posted on arXiv 3 Jul 2022.
Builds on
7 of 12 references.
References · 7
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
- 2020StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flowscited by 349
- 2017Automatic Spatially-aware Fashion Concept Discoverycited by 134
- 2018Fashion-Gen: The Generative Fashion Dataset and Challengecited by 65
- 2020AI Assisted Apparel Designcited by 1
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