GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

no code implementations • 8 Dec 2023 • Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng, Jingtuo Liu, Liangjun Zhang, Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang

This paper presents GIR, a 3D Gaussian Inverse Rendering method for relightable scene factorization.

Inverse Rendering

Learning Semantic Abstraction of Shape via 3D Region of Interest

no code implementations • 13 Jan 2022 • Haiyue Fang, Xiaogang Wang, Zheyuan Cai, Yahao Shi, Xun Sun, Shilin Wu, Bin Zhou

This is in contrast to current methods, which focus solely on either 3D shape abstraction or semantic analysis.

Self-Supervised Learning of Part Mobility from Point Cloud Sequence

1 code implementation • 20 Oct 2020 • Yahao Shi, Xinyu Cao, Bin Zhou

To the best of our knowledge, this is the first study on deep learning to extract part mobility from point cloud sequence of a dynamic object.

Self-Supervised Learning

Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes

1 code implementation • CVPR 2019 • Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu

For the task of mobility analysis of 3D shapes, we propose joint analysis for simultaneous motion part segmentation and motion attribute estimation, taking a single 3D model as input.

Attribute Segmentation