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cs.CV2026
LISA: Likelihood Score Alignment for Visual-condition Controllable Generation
Yanghao Wang, Hongxu Chen, Jiazhen Liu +4
The prevalent dual-branch paradigm, i.e., training a side network to encode visual conditions and fusing its intermediate-layer features to a frozen pretrained main network, has sh…
cs.CV2026
Coarse-Guided Visual Generation via Weighted h-Transform Sampling
Yanghao Wang, Ziqi Jiang, Zhen Wang +1
Coarse-guided visual generation, which synthesizes fine visual samples from degraded or low-fidelity coarse references, is essential for various real-world applications. While trai…
cs.CV2026
FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
Zhen Wang, Youcan Xu, Jun Xiao +1
Video motion transfer aims to generate a target video that inherits motion patterns from a source video while rendering new scenes. Existing training-free approaches focus on const…