1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation
Hao Tang, Weiyao Wang, Pierre Gleize +1
Recovering camera poses from a set of images is a foundational task in 3D computer vision, which powers key applications such as 3D scene/object reconstructions. Classic methods of…
cs.CV2024
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
Weiyao Wang, Pierre Gleize, Hao Tang +3
Neural Radiance Fields (NeRF) exhibit remarkable performance for Novel View Synthesis (NVS) given a set of 2D images. However, NeRF training requires accurate camera pose for each…
cs.CV2023★ 1 cited
SiLK -- Simple Learned Keypoints
Pierre Gleize, Weiyao Wang, Matt Feiszli
Keypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like H…