Xingyi Li, Zhiguo Cao, Yizheng Wu, Kewei Wang, Ke Xian...
TL;DR提出了 S-DyRF,一种基于参考的时空风格化方法,通过引入时间伪参考进行粗略和细致的风格转移,实现了动态 3D 场景的合理风格化结果
Abstract
Current 3d stylization methods often assume static scenes, which violates the
dynamic nature of our real world. To address this limitation, we present
S-DyRF, a reference-based spatio-temporal stylization method for dynamic neural
radiance fields. However, stylizing dynamic 3D scenes i