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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
Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins
Rei Tamaru, Pei Li, Bin Ran
Traffic digital twins are powerful tools for advanced traffic management, and most systems are built on static geometric representations. However, these representations fail to cap…