most citedMagnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2024

DiffuseST: Unleashing the Capability of the Diffusion Model for Style Transfer

Ying Hu, Chenyi Zhuang, Pan Gao

Style transfer aims to fuse the artistic representation of a style image with the structural information of a content image. Existing methods train specific networks or utilize pre…

cs.CV2024★ 1 cited

Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

Chenyi Zhuang, Ying Hu, Pan Gao

Text-to-image diffusion models particularly Stable Diffusion, have revolutionized the field of computer vision. However, the synthesis quality often deteriorates when asked to gene…