I am Haoyuan Wang (王昊远) . I am currently a third year Ph.D. student at Computer Science Department, City University of Hong Kong, supervised by Prof. Rynson W.H. Lau . Before that, I received my bachelor degree from School of Computer Science and Technology, Huazhong University of Science and Technology in 2021. My research interests include neural rendering and low-level computer vision.
My email address is:cs.why [at] my.cityu.edu.hk . Address copied !
I have publications on computer vision, especially low-level vision tasks and neural rendering. Recently, I mainly focused on neural rendering research. You can find comprehensive information about my publications and citations on my Google Scholar.
Note: Papers with indicate recommended readings.
We propose a novel 5D Neural Plenoptic Function (NeP), building on NeRFs and ray tracing for glossy object inverse rendering, including both geometry and material reconstruction.
We propose an unsupervised method to decompose NeRF and enhance it to address the problem of reconstructing high-quality NeRF given low-quality low-light images with heavy noise.
We enhance the photos with both over and under exposed regions by a light-weight multi-scale local color prior guided CNN, trained on our proposed dataset.