Presentation / Installation


Ultra-high Resolution SVBRDF Recovery From a Single Image
SessionMaterial Acquisition
DescriptionWe propose an end-to-end framework to recover ultra-high resolution SVBRDF maps from a single input image with an input resolution up to 4K.
Authors
Jie Guo
State Key Lab for Novel Software Technology, Nanjing University
Shuichang Lai
State Key Lab for Novel Software Technology, Nanjing University
Qinghao Tu
State Key Lab for Novel Software Technology, Nanjing University
Chengzhi Tao
State Key Lab for Novel Software Technology, Nanjing University
Changqing Zou
State Key Lab of CAD&CG, Zhejiang University
Yanwen Guo
State Key Lab for Novel Software Technology, Nanjing University
Presenter
Jie Guo
Nanjing University
Event Type
Technical Paper
TimeThursday, 10 August 20232pm - 2:11pm PDT
LocationRoom 502 AB
ACM Digital Library Technical Papers pdfs
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Thursday, 10 August 20232pm - 3:30pm PDTRoom 502 AB
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Rendering
Registration Categories
FC
FCS
V
VS
EFC
Next PresentationNext Presentation
Towards Material Digitization With a Dual-scale Optical System