Zhixiang Wang | 汪智祥
I am a MEXT-funded PhD student at the University of Tokyo with Shin'ichi Satoh starting in Oct. 2021. Our lab is affiliated with National Institute of Informatics. Part of my research was supported by RIISE. Prior to this, I completed my Master's degree at National Taiwan University with Yung-Yu Chuang.
My research interest focuses on computational imaging and computational photography. Throughout my studies, I have been fortunate to collaborate closely with Yinqiang Zheng, Jia-Bin Huang, Jian Wang, and Jinwei Gu. In 2022, I interned with Shree Nayar's team at Snap Research. During my master's study, I was fortunate to work at National Institute of Informatics as a research intern. I also spent some time at Nanyang Technological University in Singapore.
News
- 04/2024 We are orgnizing the Workshop on Audio-Visual Generation and Learning at ECCV 2024. See you in Milano!
- 03/2024 One paper on image matting conditionally accepted to SIGGRAPH 2024.
- 08/2023 We are orgnizing the Workshop on Rich Media with Generative AI at WACV 2024.
- 06/2023 We orgnized the Tutorial on Rolling Shutter Camera at CVPR 2023.
Research
My research is centered on Computational Photography and Imaging, with a focus on capturing the intricacies of the physical world through innovative hardware and algorithmic designs. I am now keen on blending physical principles with generative models for reconstructions and interactions of the physical world. Representative papers are highlighted.
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
Zhixiang Wang Yu-Lun Liu Jia-Bin Huang Shin'ichi Satoh Sizhuo Ma Guru Krishnan Jian Wang
International Journal of Computer Vision (IJCV) 2024
We build a pipeline to use pre-trained 3D GANs for correcting face perspective distortion in close-up portraits.
paper | arxiv | project page | code
HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
Caoyuan Ma Yu-Lun Liu Zhixiang Wang Wu Liu Xinchen Liu Zheng Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
We propose a simple yet effective HumanNeRF for animating human with diverse poses.
arxiv | project page | code
Contributing Dimension Structure of Deep Feature for Coreset Selection
Zhijing Wan Zhixiang Wang Yuran Wang Zheng Wang Hongyuan Zhu Shin'ichi Satoh
AAAI Conference on Artificial Intelligence (AAAI) 2024
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation
Xiang Ji Zhixiang Wang Zhihang Zhong Yinqiang Zheng
International Conference on Computer Vision (ICCV) 2023
We propose an unified method for motion from temporal degradations caused by different shutter modes.
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Hui Wei* Zhixiang Wang* Xuemei Jia Yinqiang Zheng Hao Tang Shin'ichi Satoh Zheng Wang
AAAI Conference on Artificial Intelligence (AAAI) 2023
We use anti-fever stickers/heating pads to form an effective solution to protect human privacy under intelligent thermal cameras.
Single Image Deblurring with Row-dependent Blur Magnitude
Xiang Ji Zhixiang Wang Shin'ichi Satoh Yinqiang Zheng
International Conference on Computer Vision (ICCV) 2023
We propose a method for removing row-wise motion blur with single image input.
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature
Zhixiang Wang Xiang Ji Jia-Bin Huang Shin'ichi Satoh Xiao Zhou Yinqiang Zheng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
We offer an alternative and new solution for RS rectification by turning the rectification problem into a deblur-like one with the widely ignored RSGR feature.
paper | arxiv | project page | code | data
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
Xianzheng Ma Zhixiang Wang Yacheng Zhan Yinqiang Zheng Zheng Wang Dengxin Dai Chia-Wen Lin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, Oral
We alleviate the domain gap caused by mixed fog influence and style variation without labels.
paper | arxiv | leaderboard | video (5min)
Domain-Specific Mappings for Generative Adversarial Style Transfer
Hsin-Yu Chang Zhixiang Wang Yung-Yu Chuang
European Conference on Computer Vision (ECCV) 2020
We propose domain-specific mappings for remapping latent features in the shared content space to domain-specific content spaces.
paper | arxiv | project page | code | video (6min)
Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification
Zhixiang Wang Zheng Wang Yinqiang Zheng Yung-Yu Chuang Shin'ichi Satoh
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019
We propose a dual-level discrepancy reduction learning scheme to separate the modality and appearance.
paper | dl | poster | ijcai survey
Polarimetric Camera Calibration Using an LCD Monitor
Zhixiang Wang Yinqiang Zheng Yung-Yu Chuang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019
We jointly calibrate the polarizer angles and the inverse CRF using a slightly adapted checker pattern displayed on an LCD monitor.
paper | dl | cvpr poster | iccp'19 poster