21 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning
Zhanjie Zhang, Jiakai Sun, Guangyuan Li +7
Arbitrary style transfer holds widespread attention in research and boasts numerous practical applications. The existing methods, which either employ cross-attention to incorporate…
cs.CV2023★ 21 cited
TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer
Haibo Chen, Lei Zhao, Jun Li +1
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 stat…
cs.CV2023★ 4 cited
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang, Lei Zhao, Wei Xing
Content and style (C-S) disentanglement is a fundamental problem and critical challenge of style transfer. Existing approaches based on explicit definitions (e.g., Gram matrix) or…