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
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…