Zexiang Xu
Most Recent Affiliation(s):
- Adobe Inc., University of California, San Diego
Learning Category: Presentation(s):
Type: [Technical Papers]
Dictionary Fields: Learning a Neural Basis Decomposition Presenter(s): [Chen] [Xu] [Wei] [Tang] [Su] [Geiger]
[SIGGRAPH 2023]
Type: [Technical Papers]
NeuSample: Importance Sampling for Neural Materials Presenter(s): [Xu] [Wu] [Hasan] [Luan] [Georgiev] [Xu] [Ramamoorthi]
[SIGGRAPH 2023]
Type: [Courses]
Advances in Neural Rendering Organizer(s): [Tewari]
Presenter(s): [Sitzmann] [Fried] [Thies] [Xu] [Tretschk] [Mildenhall] [Pandey] [Orts-Escolano] [Fanello] [Guo] [Wetzstein] [Zhu] [Theobalt] [Agrawala] [Zollhöfer]
Entry No.: [01]
[SIGGRAPH 2021]
Type: [Technical Papers]
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples Presenter(s): [Zhu] [Xu] [Sun] [Kuznetsov] [Meyer] [Jensen] [Su] [Ramamoorthi]
[SIGGRAPH 2021]
Type: [Technical Papers]
NeuMIP: multi-resolution neural materials Presenter(s): [Kuznetsov] [Mullia] [Xu] [Hasan] [Ramamoorthi]
[SIGGRAPH 2021]
Type: [Technical Papers]
Deep view synthesis from sparse photometric images Presenter(s): [Xu] [Bi] [Sunkavalli] [Hadap] [Su] [Ramamoorthi]
[SIGGRAPH 2019]
Type: [Technical Papers]
Single image portrait relighting Presenter(s): [Sun] [Barron] [Tsai] [Xu] [Yu] [Fyffe] [Rhemann] [Busch] [Debevec] [Ramamoorthi]
[SIGGRAPH 2019]
Type: [Technical Papers]
Deep image-based relighting from optimal sparse samples Presenter(s): [Xu] [Sunkavalli] [Hadap] [Ramamoorthi]
Entry No.: [126]
[SIGGRAPH 2018]
Role(s):
If you find errors or omissions on your profile page, please contact us: historyarchives@siggraph.org
Did you know you can send us a photo of yourself and a bio and we will post it? Make sure the photo is at least 1000 x 1000 and send it to the email above along with the bio and we will add it to your page.
