no code implementations • 13 Feb 2025 • Isabella Liu, Zhan Xu, Wang Yifan, Hao Tan, Zexiang Xu, Xiaolong Wang, Hao Su, Zifan Shi
To achieve this, we organize the joints in a breadth-first search (BFS) order, enabling the skeleton to be defined as a sequence of 3D locations and the parent index.
no code implementations • 19 Aug 2024 • Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su
The input normal maps can be predicted by 2D diffusion models, significantly aiding in the guidance and refinement of the geometry's learning.
no code implementations • 18 Apr 2024 • Isabella Liu, Hao Su, Xiaolong Wang
We introduce the Gaussian-Mesh Anchoring, which encourages evenly distributed Gaussians, resulting better mesh reconstruction through mesh-guided densification and pruning on the deformed Gaussians.
no code implementations • 9 Dec 2023 • Litian Liang, Liuyu Bian, Caiwei Xiao, Jialin Zhang, Linghao Chen, Isabella Liu, Fanbo Xiang, Zhiao Huang, Hao Su
Building robots that can automate labor-intensive tasks has long been the core motivation behind the advancements in computer vision and the robotics community.
no code implementations • NeurIPS 2023 • Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su
We introduce OpenIllumination, a real-world dataset containing over 108K images of 64 objects with diverse materials, captured under 72 camera views and a large number of different illuminations.
1 code implementation • CVPR 2023 • Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su
We propose TensoIR, a novel inverse rendering approach based on tensor factorization and neural fields.
no code implementations • CVPR 2022 • Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su
First, we demonstrate the transferability of our method to out-of-distribution real data by using a mixed domain learning strategy.