37 citations · 44 across the 12 of their papers we have counts for
3 papers · 1 filter
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
Bipasha Sen, Gaurav Singh, Aditya Agarwal +3
Neural Radiance Fields (NeRF) have become an increasingly popular representation to capture high-quality appearance and shape of scenes and objects. However, learning generalizable…
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
Bipasha Sen, Aditya Agarwal, Gaurav Singh +3
Recovering full 3D shapes from partial observations is a challenging task that has been extensively addressed in the computer vision community. Many deep learning methods tackle th…
Objects as Spatio-Temporal 2.5D points
Paridhi Singh, Gaurav Singh, Arun Kumar
Determining accurate bird's eye view (BEV) positions of objects and tracks in a scene is vital for various perception tasks including object interactions mapping, scenario extracti…