SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration

Surface modeling with oriented particle systems

Richard Szeliski and David Tonnesen. 1992 · 1992

Earlier work this paper cites.

Optical Models for Direct Volume Rendering

Nelson Max. 1995 · 1995

Earlier work this paper cites.

Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping. In Rendering Techniques ’98 , George Drettakis and Nelson Max (Eds.). Springer Vienna, Vienna, 105–116

Paul Debevec, Yizhou Yu, and George Borshukov. 1998 · 1998

Earlier work this paper cites.

Surfels: Surface Elements as Rendering Primitives

Hanspeter Pfister, Matthias Zwicker, Jeroen van Baar, and Markus Gross. 2000 · 2000

Earlier work this paper cites.

Unstructured Lumigraph Rendering

Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen. 2001 · 2001

Earlier work this paper cites.

Surface Splatting

Matthias Zwicker, Hanspeter Pfister, Jeroen van Baar, and Markus Gross. 2001 · 2001

Earlier work this paper cites.

Unstructured Light Fields

Abe Davis, Marc Levoy, and Fredo Durand. 2012 · 2012

Earlier work this paper cites.

Fast and accurate deep network learning by exponential linear units (elus)

Original

Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter. 2015 · 2015

Earlier work this paper cites.

Distilling the Knowledge in a Neural Network

Original

Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015 · 2015

Earlier work this paper cites.

Adam: A Method for Stochastic Optimization

Diederik P. Kingma and Jimmy Ba. 2015 · 2015

Earlier work this paper cites.

Structure-from-Motion Revisited

Johannes Lutz Schönberger and Jan-Michael Frahm. 2016 · 2016

Earlier work this paper cites.

Soft 3D Reconstruction for View Synthesis

Eric Penner and Li Zhang. 2017 · 2017

Earlier work this paper cites.

Attention is All you Need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Earlier work this paper cites.

Deep blending for free-viewpoint image-based rendering

Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow. 2018 · 2018

Earlier work this paper cites.

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering

Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B Goldman, Cem Keskin, Steve Seitz, Shahram Izadi, and Sean Fanello. 2018 · 2018

Earlier work this paper cites.

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018 · 2018

Earlier work this paper cites.

Stereo Magnification: Learning View Synthesis using Multiplane Images

Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely. 2018 · 2018

Earlier work this paper cites.

DeepView: View synthesis with learned gradient descent

John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker. 2019 · 2019

Earlier work this paper cites.

Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines

Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar. 2019 · 2019

Earlier work this paper cites.

DeRF: Decomposed Radiance Fields

Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, and Andrea Tagliasacchi. 2019 · 2019

Earlier work this paper cites.

Neural Point-Based Graphics

Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky. 2020 · 2020

Earlier work this paper cites.

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020

Earlier work this paper cites.

SynSin: End-to-End View Synthesis From a Single Image

Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson. 2020 · 2020

Earlier work this paper cites.

NeRF++: Analyzing and Improving Neural Radiance Fields

Original

Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020 · 2020

Earlier work this paper cites.

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan. 2021 · 2021

Earlier work this paper cites.

FastNeRF: High-Fidelity Neural Rendering at 200FPS

Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin. 2021 · 2021

Earlier work this paper cites.

Knowledge Distillation: a Survey

Jianping Gou, Baosheng Yu, Stephen J Maybank, and Dacheng Tao. 2021 · 2021

Earlier work this paper cites.

Baking Neural Radiance Fields for Real-Time View Synthesis

Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, and Paul Debevec. 2021 · 2021

Earlier work this paper cites.

Point-Based Neural Rendering with Per-View Optimization

Georgios Kopanas, Julien Philip, Thomas Leimkühler, and George Drettakis. 2021 · 2021

Earlier work this paper cites.

BARF: Bundle-Adjusting Neural Radiance Fields

Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey. 2021 · 2021

Earlier work this paper cites.

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Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth. 2021 · 2021

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Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla. 2021 · 2021

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