Spatial Prior-guided Video Diffusion Models With Controllable Camera Trajectories
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.
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