no code implementations • 8 Feb 2024 • Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Hyung Jin Chang, Aleš Leonardis
Despite remarkable progress that has been achieved in this field, existing methods still fail to synthesize the hand-object interaction photo-realistically, suffering from degraded rendering quality caused by the heavy mutual occlusions between the hand and the object, and inaccurate hand-object pose estimation.
1 code implementation • 9 Nov 2023 • Yuqi Hou, Zhongqun Zhang, Nora Horanyi, Jaewon Moon, Yihua Cheng, Hyung Jin Chang
We then use the identity information to enhance scene images and propose a gaze candidate estimation network.
no code implementations • 1 Aug 2023 • Hengfei Wang, Zhongqun Zhang, Yihua Cheng, Hyung Jin Chang
In this paper, we aim to learn a face NeRF model that is sensitive to eye movements from multi-view images.
no code implementations • 9 Dec 2022 • Wei Chen, Xi Jia, Zhongqun Zhang, Hyung Jin Chang, Linlin Shen, Jinming Duan, Ales Leonardis
The proposed rotation representation has two major advantages: 1) decoupled characteristic that makes the rotation estimation easier; 2) flexible length and rotated angle of the vectors allow us to find a more suitable vector representation for specific pose estimation task.
no code implementations • 1 Aug 2022 • Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
In this paper, we propose a novel semi-supervised framework that allows us to learn contact from monocular images.