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cs.CV2026
StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
Liqi Jing, Dingming Zhang, Peinian Li +3
We build on the Visual Autoregressive Modeling (VAR) framework and formulate style transfer as conditional discrete sequence modeling in a learned latent space. Images are decompos…
cs.CV2026
Motion-Adapter: A Diffusion Model Adapter for Text-to-Motion Generation of Compound Actions
Yue Jiang, Mingyu Yang, Liuyuxin Yang +3
Recent advances in generative motion synthesis have enabled the production of realistic human motions from diverse input modalities. However, synthesizing compound actions from tex…
cs.CV2025
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer
Jian Zhu, Shanyuan Liu, Liuzhuozheng Li +9
Makeup transfer aims to apply the makeup style from a reference face to a target face and has been increasingly adopted in practical applications. Existing GAN-based approaches typ…