CVPR2025
AKiRa: Augmentation Kit on Rays for Optical Video Generation
Xi Wang, Robin Courant, Marc Christie, Vicky Kalogeiton
摘要
Figure 1. While current state-of-the-art video generation approaches offer limited control to users on camera motion, we propose a dedicated data augmentation framework -AKiRa -to train an optical video generation model that provides users with a panel of controls on camera motions (top row), camera focal length (second row), lens distortion (third row), or bokeh (camera aperture and focus in bottom row).