Zexiang Xu
Zexiang Xu
Adobe Research
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
Learning to reconstruct shape and spatially-varying reflectance from a single image
Z Li, Z Xu, R Ramamoorthi, K Sunkavalli, M Chandraker
ACM Transactions on Graphics (TOG) 37 (6), 1-11, 2018
532018
Deep image-based relighting from optimal sparse samples
Z Xu, K Sunkavalli, S Hadap, R Ramamoorthi
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
492018
Minimal BRDF sampling for two-shot near-field reflectance acquisition
Z Xu, JB Nielsen, J Yu, HW Jensen, R Ramamoorthi
ACM Transactions on Graphics (TOG) 35 (6), 1-12, 2016
392016
Deep view synthesis from sparse photometric images
Z Xu, S Bi, K Sunkavalli, S Hadap, H Su, R Ramamoorthi
ACM Transactions on Graphics (TOG) 38 (4), 1-13, 2019
342019
Single image portrait relighting.
T Sun, JT Barron, YT Tsai, Z Xu, X Yu, G Fyffe, C Rhemann, J Busch, ...
ACM Trans. Graph. 38 (4), 79:1-79:12, 2019
302019
Dynamic hair capture using spacetime optimization
Z Xu, HT Wu, L Wang, C Zheng, X Tong, Y Qi
To appear in ACM TOG 33, 6, 2014
262014
Robust energy minimization for brdf-invariant shape from light fields
Z Li, Z Xu, R Ramamoorthi, M Chandraker
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
102017
Learning generative models for rendering specular microgeometry.
A Kuznetsov, M Hasan, Z Xu, LQ Yan, B Walter, NK Kalantari, ...
ACM Trans. Graph. 38 (6), 225:1-225:14, 2019
82019
Sparse sampling for image-based SVBRDF acquisition
J Yu, Z Xu, M Mannino, HW Jensen, R Ramamoorthi
Image 1, 1, 2016
62016
Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images
S Bi, Z Xu, K Sunkavalli, D Kriegman, R Ramamoorthi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42020
Deep stereo using adaptive thin volume representation with uncertainty awareness
S Cheng, Z Xu, S Zhu, Z Li, LE Li, R Ramamoorthi, H Su
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
32020
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
S Bi, Z Xu, K Sunkavalli, M Hašan, Y Hold-Geoffroy, D Kriegman, ...
arXiv preprint arXiv:2007.09892, 2020
12020
Deep Photon Mapping
S Zhu, Z Xu, HW Jensen, H Su, R Ramamoorthi
arXiv preprint arXiv:2004.12069, 2020
12020
Light Stage Super-Resolution: Continuous High-Frequency Relighting
T Sun, Z Xu, X Zhang, S Fanello, C Rhemann, P Debevec, YT Tsai, ...
arXiv preprint arXiv:2010.08888, 2020
2020
Photon-Driven Neural Path Guiding
S Zhu, Z Xu, T Sun, A Kuznetsov, M Meyer, HW Jensen, H Su, ...
arXiv preprint arXiv:2010.01775, 2020
2020
Relighting digital images illuminated from a target lighting direction
K Sunkavalli, Z Xu, S Hadap
US Patent App. 15/930,925, 2020
2020
Neural Reflectance Fields for Appearance Acquisition
S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ...
arXiv preprint arXiv:2008.03824, 2020
2020
Deep Multi Depth Panoramas for View Synthesis
KE Lin, Z Xu, B Mildenhall, PP Srinivasan, Y Hold-Geoffroy, S DiVerdi, ...
arXiv e-prints, arXiv: 2008.01815, 2020
2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Z Li, TW Yu, S Sang, S Wang, S Bi, Z Xu, HX Yu, K Sunkavalli, M Hašan, ...
arXiv preprint arXiv:2007.12868, 2020
2020
Deep Kernel Density Estimation for Photon Mapping
S Zhu, Z Xu, HW Jensen, H Su, R Ramamoorthi
Computer Graphics Forum 39 (4), 35-45, 2020
2020
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