62 citations · 126 across the 6 of their papers we have counts for
6 papers
3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation
Frank Zhang, Yibo Zhang, Quan Zheng +5
Text-driven 3D scene generation techniques have made rapid progress in recent years. Their success is mainly attributed to using existing generative models to iteratively perform i…
Neural Invertible Variable-degree Optical Aberrations Correction
Shuang Cui, Bingnan Wang, Quan Zheng
Optical aberrations of optical systems cause significant degradation of imaging quality. Aberration correction by sophisticated lens designs and special glass materials generally i…
A survey on facial image deblurring
Bingnan Wang, Fanjiang Xu, Quan Zheng
When a facial image is blurred, it significantly affects high-level vision tasks such as face recognition. The purpose of facial image deblurring is to recover a clear image from a…
Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
Mengyu Chu, Lingjie Liu, Quan Zheng +4
High-fidelity reconstruction of fluids from sparse multiview RGB videos remains a formidable challenge due to the complexity of the underlying physics as well as complex occlusion…
Neural Relightable Participating Media Rendering
Quan Zheng, Gurprit Singh, Hans-Peter Seidel
Learning neural radiance fields of a scene has recently allowed realistic novel view synthesis of the scene, but they are limited to synthesize images under the original fixed ligh…
Learning to Importance Sample in Primary Sample Space
Quan Zheng, Matthias Zwicker
Importance sampling is one of the most widely used variance reduction strategies in Monte Carlo rendering. In this paper, we propose a novel importance sampling technique that uses…