Presentation / Installation


ScanBot: Autonomous Reconstruction via Deep Reinforcement Learning
SessionDeep Geometric Learning
DescriptionWe present a hierarchical deep-reinforcement-learning-based approach for autonomous reconstruction by alternating between a global region-of-interest (ROI) planning policy to improve the scanning efficiency and a local next-best-view (NBV) planning policy to enhance the reconstruction quality. Two dedicated auxiliary learning tasks are also proposed to accelerate the training of global policy.
Authors
Hezhi Cao
University of Science and Technology of China
Xia Xi
University of Science and Technology of China
Guan Wu
University of Science and Technology of China
Ruizhen Hu
Shenzhen University
Ligang Liu
University of Science and Technology of China
Event Type
Technical Paper
TimeThursday, 10 August 20232:22pm - 2:33pm PDT
LocationRoom 515 A
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 515 A
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Modeling
Rendering
Registration Categories
FC
FCS
V
VS
EFC
Next PresentationNext Presentation
TextDeformer: Geometry Manipulation Using Text Guidance