33 citations · 100 across the 18 of their papers we have counts for
7 papers · 1 filter
im2nerf: Image to Neural Radiance Field in the Wild
Lu Mi, Abhijit Kundu, David Ross +3
We propose im2nerf, a learning framework that predicts a continuous neural object representation given a single input image in the wild, supervised by only segmentation output from…
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
Abhijit Kundu, Kyle Genova, Xiaoqi Yin +6
We present Panoptic Neural Fields (PNF), an object-aware neural scene representation that decomposes a scene into a set of objects (things) and background (stuff). Each object is r…
Neural Volume Rendering: NeRF And Beyond
Frank Dellaert, Lin Yen-Chen
Besides the COVID-19 pandemic and political upheaval in the US, 2020 was also the year in which neural volume rendering exploded onto the scene, triggered by the impressive NeRF pa…
Shonan Rotation Averaging: Global Optimality by Surfing
Frank Dellaert, David M. Rosen, Jing Wu +2
Shonan Rotation Averaging is a fast, simple, and elegant rotation averaging algorithm that is guaranteed to recover globally optimal solutions under mild assumptions on the measure…
Fast 3D Pose Refinement with RGB Images
Abhinav Jain, Frank Dellaert
Pose estimation is a vital step in many robotics and perception tasks such as robotic manipulation, autonomous vehicle navigation, etc. Current state-of-the-art pose estimation met…
Taking a Deeper Look at the Inverse Compositional Algorithm
Zhaoyang Lv, Frank Dellaert, James M. Rehg +1
In this paper, we provide a modern synthesis of the classic inverse compositional algorithm for dense image alignment. We first discuss the assumptions made by this well-establishe…