RPBG: Towards Robust Neural Point-based Graphics in the Wild

no code implementations • 9 May 2024 • Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng, Yifan Zhan, Zhuyu Yao, Jiawang Zhang, Kejian Wu, Yinqiang Zheng

Point-based representations have recently gained popularity in novel view synthesis, for their unique advantages, e. g., intuitive geometric representation, simple manipulation, and faster convergence.

Image Restoration Novel View Synthesis

Learning the Geodesic Embedding with Graph Neural Networks

1 code implementation • 11 Sep 2023 • Bo Pang, Zhongtian Zheng, Guoping Wang, Peng-Shuai Wang

Then, we can compute the geodesic distance between a pair of points using our decoding function, which requires only several matrix multiplications and can be massively parallelized on GPUs.