Flow-matching-based multi-view world models generate realistic videos, but are commonly restricted to fixed camera rigs. Extending them to continuously varying camera poses requires paired pose--video observations with dense pose coverage, which are costly to acquire. We introduce \emph{SymRegFlow}, a symmetry-regulari...
Xi Ye, Yu-Zhu Wang, Xiao-Yang Liu et al.· 0 citations
This work introduces additional 3D spatial prior information into both the training and inference stages of video diffusion models to enhance the spatial structural consistency of generated videos and introduces an energy-function guidance strategy (Warp-Guidance) driven by warping priors during denoising.
Hong-Zhou Zhu, Xue Yang, Min Zhao et al.· 0 citations
MemMTL, a multi-task dense prediction framework that estimates a compact task state from global visual context and refines it through a learnable task-state prototype memory, is proposed.
Yang-Yang Xu, Haobo Yuan, Yu-Zhu Wang et al.· 0 citations
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