NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

5 August 2020

Ricardo Martín Brualla

Mehdi S. M. Sajjadi

Jonathan T. Barron

Alexey Dosovitskiy

Daniel Duckworth

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Papers citing "NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections"

16 / 66 papers shown

Title
Neural Point-Based Graphics Kara-Ali Aliev Artem Sevastopolsky Maria Kolos Dmitry Ulyanov Victor Lempitsky 3DH 3DPC 79 431 0 19 Jun 2019
DeepView: View Synthesis with Learned Gradient Descent John Flynn M. Broxton P. Debevec Matthew DuVall Graham Fyffe Ryan S. Overbeck Noah Snavely Richard Tucker 83 448 0 18 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 182 1,282 0 04 Jun 2019
Deferred Neural Rendering: Image Synthesis using Neural Textures Justus Thies Michael Zollhöfer Matthias Nießner 3DH 91 686 0 28 Apr 2019
Neural Rerendering in the Wild Moustafa Meshry Dan B. Goldman S. Khamis Hugues Hoppe Rohit Pandey Noah Snavely Ricardo Martín Brualla 3DH 57 210 0 08 Apr 2019
DeepVoxels: Learning Persistent 3D Feature Embeddings Vincent Sitzmann Justus Thies Felix Heide Matthias Nießner Gordon Wetzstein Michael Zollhöfer SSL 3DPC MDE 152 669 0 03 Dec 2018
Unprocessing Images for Learned Raw Denoising Tim Brooks B. Mildenhall Tianfan Xue Jiawen Chen Dillon Sharlet Jonathan T. Barron 90 442 0 27 Nov 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,938 0 11 Jan 2018
NIMA: Neural Image Assessment Hossein Talebi P. Milanfar 3DH 92 910 0 15 Sep 2017
Optimizing the Latent Space of Generative Networks Piotr Bojanowski Armand Joulin David Lopez-Paz Arthur Szlam GAN 104 418 0 18 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 234 8,494 0 17 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 340 19,711 0 21 Nov 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 262 10,273 0 27 Mar 2016
DeepStereo: Learning to Predict New Views from the World's Imagery John Flynn Ivan Neulander James Philbin Noah Snavely 3DV 125 652 0 22 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014

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