FIRST: A Million-Entry Dataset for Text-Driven Fashion Synthesis and Design
This dataset addresses the need for large-scale, annotated data in fashion AIGC, potentially revolutionizing the fashion industry, though it is incremental as it builds on existing generative models.
The authors introduced FIRST, a dataset of one million high-resolution fashion images with structured textual descriptions to advance text-driven fashion synthesis and design, showing its necessity through experiments on prevalent generative models.
Text-driven fashion synthesis and design is an extremely valuable part of artificial intelligence generative content(AIGC), which has the potential to propel a tremendous revolution in the traditional fashion industry. To advance the research on text-driven fashion synthesis and design, we introduce a new dataset comprising a million high-resolution fashion images with rich structured textual(FIRST) descriptions. In the FIRST, there is a wide range of attire categories and each image-paired textual description is organized at multiple hierarchical levels. Experiments on prevalent generative models trained over FISRT show the necessity of FIRST. We invite the community to further develop more intelligent fashion synthesis and design systems that make fashion design more creative and imaginative based on our dataset. The dataset will be released soon.