Learning Continuous Environment Fields via Implicit Functions

Learning Continuous Environment Fields via Implicit Functions

27 November 2021

Shalini De Mello

Ming-Hsuan Yang

Papers citing "Learning Continuous Environment Fields via Implicit Functions"

11 / 11 papers shown

Title
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni Zherong Pan A. H. Qureshi SSL 39 0 0 09 May 2025
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 28 0 0 23 Oct 2024
Multi-Object Navigation in real environments using hybrid policies Assem Sadek G. Bono Boris Chidlovskii A. Baskurt Christian Wolf 45 5 0 24 Jan 2024
VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations Nikolaos Tsagkas Oisin Mac Aodha Chris Xiaoxuan Lu VLM 24 25 0 21 May 2023
Multi-Object Navigation with dynamically learned neural implicit representations Pierre Marza L. Matignon Olivier Simonin Christian Wolf 27 23 0 11 Oct 2022
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning Ruiqi Ni A. H. Qureshi AI4CE 29 17 0 30 Sep 2022
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 46 613 0 22 Nov 2021
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 237 558 0 19 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 229 971 0 10 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016
Learning Human Activities and Object Affordances from RGB-D Videos H. Koppula Rudhir Gupta Ashutosh Saxena 93 726 0 04 Oct 2012