Papers by Arseniy Shakhmatov

1 papers
Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion (2023.emnlp-demo)

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Challenge: Experimental evaluations demonstrate FID score of 8.03 on the COCO-30K dataset, marking our model as the top open source performer in terms of measurable image generation quality.
Approach: They propose a latent diffusion-based model that combines image prior and latent diffusive techniques to create a text-to-image architecture.
Outcome: The proposed model achieves the highest FID score among open-source models . it is compared with the state-of-the-art models on the COCO-30K dataset .

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