no code implementations • 9 Jul 2024 • Chuanrui Zhang, Yonggen Ling, Minglei Lu, Minghan Qin, Haoqian Wang
We study the 3D object understanding task for manipulating everyday objects with different material properties (diffuse, specular, transparent and mixed).
2 code implementations • 24 May 2024 • Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille
In this paper, we propose a new framework, High Dynamic Range Gaussian Splatting (HDR-GS), which can efficiently render novel HDR views and reconstruct LDR images with a user input exposure time.
no code implementations • 23 Mar 2024 • Dongbin Zhang, Chuming Wang, Weitao Wang, Peihao Li, Minghan Qin, Haoqian Wang
The photometric variation and transient occluders in those unconstrained images make it difficult to reconstruct the original scene accurately.
1 code implementation • CVPR 2024 • Minghan Qin, Wanhua Li, Jiawei Zhou, Haoqian Wang, Hanspeter Pfister
Humans live in a 3D world and commonly use natural language to interact with a 3D scene.
1 code implementation • 27 Nov 2023 • Yang Liu, Xiang Huang, Minghan Qin, Qinwei Lin, Haoqian Wang
Neural radiance fields are capable of reconstructing high-quality drivable human avatars but are expensive to train and render and not suitable for multi-human scenes with complex shadows.
no code implementations • 10 Oct 2023 • Minghan Qin, Yifan Liu, Yuelang Xu, Xiaochen Zhao, Yebin Liu, Haoqian Wang
One crucial aspect of 3D head avatar reconstruction lies in the details of facial expressions.