2 code implementations • 7 Sep 2023 • YuAn Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, Wenping Wang
In this paper, we present a novel diffusion model called that generates multiview-consistent images from a single-view image.
no code implementations • 4 Apr 2023 • Jubo Yu, Tianxiang Ren, Shihui Guo, Fengyi Fang, Kai Wang, Zijiao Zeng, Yazhan Zhang, Andreas Aristidou, Yipeng Qin
In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset.
no code implementations • 25 Mar 2023 • Tianxiang Ren, Jubo Yu, Shihui Guo, Ying Ma, Yutao Ouyang, Zijiao Zeng, Yazhan Zhang, Yipeng Qin
In-betweening is a technique for generating transitions given initial and target character states.