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cs.CV2023
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective
Zipeng Xu, Songlong Xing, Enver Sangineto +1
Owing to the power of vision-language foundation models, e.g., CLIP, the area of image synthesis has seen recent important advances. Particularly, for style transfer, CLIP enables…
cs.CV2023
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
Zipeng Xu, Enver Sangineto, Nicu Sebe
Despite the progress made in the style transfer task, most previous work focus on transferring only relatively simple features like color or texture, while missing more abstract co…