Presentation / Installation


29. Deformable Neural Radiance Fields for Object Motion Blur Removal
SessionPosters: Image, Video, & Computer Vision
DescriptionWe present a novel approach to remove object motion blur in deformable neural radiance fields. Our technique adapts the hyperspace representation to accommodate shape changes induced by object motion blur. Experiments on Blender-generated datasets demonstrate the effectiveness of our method in producing higher-quality images with reduced object motion blur artifacts.
Contributors
Kazuhito Sato
Waseda University
Shugo Yamaguchi
Waseda University
Tsukasa Takeda
Waseda University
Shigeo Morishima
Waseda Research Institute for Science and Engineering
Event Type
Poster
TimeThursday, 10 August 20239am - 5:30pm PDT
LocationWest Lobby Entrance
ACM Digital Library Poster PDF
Session Time & Location
Sunday, 6 August 20239am - 5:30pm PDTWest Lobby Entrance
Monday, 7 August 20239am - 5:30pm PDTWest Lobby Entrance
Tuesday, 8 August 20239am - 5:30pm PDTWest Lobby Entrance
Wednesday, 9 August 20239am - 5:30pm PDTWest Lobby Entrance
Thursday, 10 August 20239am - 5:30pm PDTWest Lobby Entrance
Keywords
Computer Vision
Registration Categories
FC
FCS
E
EFC
EE
Next PresentationNext Presentation
30. Efficient 3D Reconstruction of NeRF using Camera Pose Interpolation and Photometric Bundle Adjustment