no code implementations • 9 Feb 2024 • Xiaokang Wei, Zhuoman Liu, Yan Luximon
We propose SIR, an efficient method to decompose differentiable shadows for inverse rendering on indoor scenes using multi-view data, addressing the challenges in accurately decomposing the materials and lighting conditions.
1 code implementation • NeurIPS 2023 • Zhuoman Liu, Bo Yang, Yan Luximon, Ajay Kumar, Jinxi Li
In this paper, we study the problem of continuous 3D shape representations.
1 code implementation • CVPR 2023 • Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang
In light of this, we propose to disentangle the style representations at both writer and character levels from individual handwritings to synthesize realistic stylized online handwritten characters.
1 code implementation • 19 Jan 2021 • Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan
To address the above issues, in this paper, we propose a novel deep generative model, called Self-Consistent Generative Network (SCGN), which synthesizes novel views from the given input views without explicitly exploiting the geometric information.