no code implementations • 7 Feb 2024 • Jingwang Ling, Ruihan Yu, Feng Xu, Chun Du, Shuang Zhao
While the environment map is commonly used as the lighting model in inverse rendering, we show that its distant lighting assumption leads to spatial invariant lighting, which can be an inaccurate approximation in real-world inverse rendering.
no code implementations • 16 Jan 2024 • Xin Ming, Jiawei Li, Jingwang Ling, Libo Zhang, Feng Xu
Experiments demonstrate that, with the flexible input of single or sparse multi-view videos, we reconstruct personalized high-fidelity blendshapes.
1 code implementation • CVPR 2023 • Jingwang Ling, Zhibo Wang, Feng Xu
By supervising shadow rays, we successfully reconstruct a neural SDF of the scene from single-view images under multiple lighting conditions.
1 code implementation • 19 Jul 2022 • Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu
Previous works on morphable models mostly focus on large-scale facial geometry but ignore facial details.