Zexiang Xu (徐泽祥)
I am currently a research scientist at Adobe Research. I obtained my Ph.D. at University of California, San Diego, working with Prof. Ravi Ramamoorthi. Before that, I received my Bachelor degree in 2012 and my Master degree in 2015 both from Beihang University.
My research interests lie at the intersection of computer graphics and computer vision; my focus is to make scene acquisition and rendering be efficient, practical and realistic. My research has been recognized by Adobe Research Fellowship (2019) and UCSD Chancellor’s Dissertation Medal (2021). My work has covered rendering, relighting, view synthesis, appearance modeling, appearance acquisition, 3D reconstruction, hair modeling, and light fields.
Publication
NeuMIP: Multi-Resolution Neural Materials
Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi
SIGGRAPH 2021
[ project page]
Hierarchical Neural Reconstruction for Path Guiding Using Hybrid Path and Photon Samples
Shilin Zhu, Zexiang Xu,Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi
SIGGRAPH 2021
[ paper]
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
Fanbo Xiang, Zexiang Xu,Miloš Hašan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su
CVPR 2021 (Oral)
[ arXiv][ project page]
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh Gundavarapu, Jia Shi, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker
CVPR 2021 (Oral)
[ project page]
Light stage super-resolution: continuous high-frequency relighting
Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Fanello, Christoph Rhemann, Paul Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2020)
[ Project]
Photon-Driven Neural Path Guiding
Shilin Zhu, Zexiang Xu,Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi
arXiv 2020
[ arXiv]
Neural Reflectance Fields for Appearance Acquisition
Sai Bi*, Zexiang Xu*, Pratul P. Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi (*equal contribution)
arXiv 2020
[ arXiv]
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
ECCV 2020 (Spotlight)
Deep Multi Depth Panoramas for View Synthesis
Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi
ECCV 2020
Deep Kernel Density Estimation for Photon Mapping
Shilin Zhu*, Zexiang Xu*, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi
(*equal contribution)
EGSR 2020 (CGF journal track)
[ Paper]
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
Shuo Cheng*, Zexiang Xu*, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su (*equal contribution)
CVPR 2020 (Oral)
[ Paper]
Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David Kriegman, Ravi Ramamoorthi
CVPR 2020
Learning Generative Models for Rendering Specular Microgeometry
Alexandr Kuznetsov, Miloš Hašan, Zexiang Xu, Lingqi Yan, Bruce Walter, Nima Khademi Kalantari, Steve Marschner, Ravi Ramamoorthi
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2019)
Deep View Synthesis from Sparse Photometric Images
Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, Ravi Ramamoorthi
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2019)
[ Paper] [Video] [ Supplementary]
Single Image Portrait Relighting
Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, Ravi Ramamoorthi
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2019)
[Paper] [Video] [Supplementary]
Learning to Reconstruct Shape and Spatially-Varying Reflectance from a Single Image
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2018)
[Paper] [Video] [Supplementary]
Deep Image-based Relighting from Optimal Sparse Samples
Zexiang Xu, Kalyan Sunkavalli, Sunil Hadap, Ravi Ramamoorthi
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2018)
[Paper] [Video] [Supplementary] [Project]
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
CVPR 2017
[Paper] [Supplementary]
Minimal BRDF Sampling for Two-Shot Near-Field Reflectance Acquisition
Zexiang Xu, Jannik Boll Nielsen, Jiyang Yu, Henrik Wann Jensen, Ravi Ramamoorthi
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2016)
[Paper] [Video] [Supplementary]
Sparse Sampling for Image-Based SVBRDF Acquisition
Jiyang Yu, Zexiang Xu, Matteo Mannino, Henrik Wann Jensen, Ravi Ramamoorthi
Workshop on Material Appearance Modeling (2016)
[Paper]
Dynamic Hair Capture using Spacetime Optimization
Zexiang Xu, Hsiang-Tao Wu, Lvdi Wang, Changxi Zheng, Xin Tong, Yue Qi
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2014)