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MULTI-CONCEPT T2I-ZERO: TWEAKING ONLY THE TEXT EMBEDDINGS AND NOTHING ELSE

The dataset used in the paper is a text-to-image diffusion model, specifically Stable Diffusion. The authors used this model to generate images from text prompts and evaluated its performance on multi-concept image synthesis, image manipulation, and personalization tasks.

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Cite this as

Hazarapet Tunanyan, Dejia Xu, Shant Navasardyan, Zhangyang Wang, Humphrey Shi (2024). Dataset: MULTI-CONCEPT T2I-ZERO: TWEAKING ONLY THE TEXT EMBEDDINGS AND NOTHING ELSE. https://doi.org/10.57702/8jbure2o

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2310.07419
Author	Hazarapet Tunanyan
More Authors	Dejia Xu Shant Navasardyan Zhangyang Wang Humphrey Shi
Homepage	https://multi-concept-t2i-zero.github.io/