147 citations · 351 across the 23 of their papers we have counts for
7 papers · 1 filter
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…
Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer +2
With the advent of deep neural networks, learning-based approaches for 3D reconstruction have gained popularity. However, unlike for images, in 3D there is no canonical representat…
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras
Zhaopeng Cui, Lionel Heng, Ye Chuan Yeo +3
We present a real-time dense geometric mapping algorithm for large-scale environments. Unlike existing methods which use pinhole cameras, our implementation is based on fisheye cam…
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System
Lionel Heng, Benjamin Choi, Zhaopeng Cui +10
Project AutoVision aims to develop localization and 3D scene perception capabilities for a self-driving vehicle. Such capabilities will enable autonomous navigation in urban and ru…
Geometric Image Synthesis
Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger +1
The task of generating natural images from 3D scenes has been a long standing goal in computer graphics. On the other hand, recent developments in deep neural networks allow for tr…
PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
Aseem Behl, Despoina Paschalidou, Simon Donné +1
Despite significant progress in image-based 3D scene flow estimation, the performance of such approaches has not yet reached the fidelity required by many applications. Simultaneou…