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LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation

Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. The GeNeVA task is a multi-turn text-conditioned image generation (MTIM) task. It involves two participants: a Teller that instructs how to modify the image, and a Drawer that draws the image according to the Teller’s instructions.

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Cite this as

Shoya Matsumori, Yuki Abe, Kosuke Shingyouchi, Komei Sugiura, Michita Imai (2024). Dataset: LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation. https://doi.org/10.57702/c1w5v3ns

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Shoya Matsumori
More Authors	Yuki Abe Kosuke Shingyouchi Komei Sugiura Michita Imai
Homepage	https://github.com/smatsumori/LatteGAN