Federated Neural Radiance Fields

2 May 2023

Tat-Jun Chin

Papers citing "Federated Neural Radiance Fields"

20 / 20 papers shown

Title
Block-NeRF: Scalable Large Scene Neural View Synthesis Matthew Tancik Vincent Casser Xinchen Yan Sabeek Pradhan B. Mildenhall Pratul P. Srinivasan Jonathan T. Barron Henrik Kretzschmar AI4CE 92 823 0 10 Feb 2022
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering Yuanbo Xiangli Linning Xu Xingang Pan Nanxuan Zhao Anyi Rao Christian Theobalt Bo Dai Dahua Lin AI4CE 83 231 0 10 Dec 2021
LENS: Localization enhanced by NeRF synthesis Arthur Moreau Nathan Piasco D. Tsishkou B. Stanciulescu A. de La Fortelle 87 126 0 13 Oct 2021
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 120 92 0 30 Sep 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 84 794 0 12 Jun 2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs Christian Reiser Songyou Peng Yiyi Liao Andreas Geiger 55 824 0 25 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 121 1,973 0 24 Mar 2021
INeRF: Inverting Neural Radiance Fields for Pose Estimation Yen-Chen Lin Peter R. Florence Jonathan T. Barron Alberto Rodriguez Phillip Isola Nayeon Lee 124 454 0 10 Dec 2020
DeRF: Decomposed Radiance Fields Daniel Rebain Wei Jiang S. Yazdani Ke Li K. M. Yi Andrea Tagliasacchi 82 206 0 25 Nov 2020
NeRF++: Analyzing and Improving Neural Radiance Fields Kai Zhang Gernot Riegler Noah Snavely V. Koltun 88 1,042 0 15 Oct 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 129 2,594 0 19 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 78 179 0 07 Mar 2020
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 74 1,358 0 07 Mar 2019
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler Simon Wiedemann K. Müller Wojciech Samek MQ 58 214 0 22 May 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,795 0 11 Jan 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 136 1,407 0 05 Dec 2017
Sparse Communication for Distributed Gradient Descent Alham Fikri Aji Kenneth Heafield 66 741 0 17 Apr 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 120 738 0 11 Nov 2015