ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.02988
  4. Cited By
PRISM: Probabilistic Real-Time Inference in Spatial World Models

PRISM: Probabilistic Real-Time Inference in Spatial World Models

6 December 2022
Atanas Mirchev
Baris Kayalibay
Ahmed Agha
Patrick van der Smagt
Daniel Cremers
Justin Bayer
    VGen
ArXivPDFHTML

Papers citing "PRISM: Probabilistic Real-Time Inference in Spatial World Models"

5 / 5 papers shown
Title
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view
  Stereo
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Lukas Koestler
Nan Yang
Niclas Zeller
Daniel Cremers
MDE
69
68
0
14 Nov 2021
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth
Xingxing Zuo
Nate Merrill
Wei Li
Yong-jin Liu
Marc Pollefeys
G. Huang
77
39
0
18 Dec 2020
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
203
1,242
0
22 Jul 2020
Learning to Fly via Deep Model-Based Reinforcement Learning
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
35
37
0
19 Mar 2020
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,372
0
20 Oct 2016
1