Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer

J Chung, S Hyun, JP Heo - … of the IEEE/CVF conference on …, 2024‏ - openaccess.thecvf.com
Despite the impressive generative capabilities of diffusion models existing diffusion model-
based style transfer methods require inference-stage optimization (eg fine-tuning or textual …

MicroAST: towards super-fast ultra-resolution arbitrary style transfer

Z Wang, L Zhao, Z Zuo, A Li, H Chen, W ** algorithm where the source and target can be an
image or a video. Researchers have investigated sophisticated generative adversarial …

A multi-level wavelet-based underwater image enhancement network with color compensation prior

Y Wang, S Hu, S Yin, Z Deng, YH Yang - Expert Systems with Applications, 2024‏ - Elsevier
Due to the scattering of light and the influence of different water types, underwater images
usually suffer from different type of hybrid degradation, eg color distortion, blurred details …

Intrinsic-style distribution matching for arbitrary style transfer

M Liu, S Lin, H Zhang, Z Zha, B Wen - Knowledge-Based Systems, 2024‏ - Elsevier
Although arbitrary style transfer has been a hot topic in computer vision, most existing
methods that directly align style and content features frequently result in unnatural effects in …

TSSAT: Two-stage statistics-aware transformation for artistic style transfer

H Chen, L Zhao, J Li, J Yang - proceedings of the 31st ACM International …, 2023‏ - dl.acm.org
Artistic style transfer aims to create new artistic images by rendering a given photograph with
the target artistic style. Existing methods learn styles simply based on global statistics or …