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The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting information in compact neural networks.
“Neural Reflectance Fields for Appearance Acquisition”, 2020
Sai Bi et al · 2008
Earlier work this paper cites.
“NeRF++: Analyzing and Improving Neural Radiance Fields”, 2020
Kai Zhang, Gernot Riegler, Noah Snavely and Vladlen Koltun · 2010
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“DeRF: Decomposed Radiance Fields”
Daniel Rebain et al · 2011
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“NeRD: Neural Reflectance Decomposition from Image Collections”, 2020
Mark Boss et al · 2012
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“Adam: A Method for Stochastic Optimization”
Diederik. Kingma and Jimmy Ba · 2015
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“Deep Blending for Free-Viewpoint Image-Based Rendering”
Peter Hedman et al · 2018
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“Stereo Magnification: Learning View Synthesis Using Multiplane Images”
Tinghui Zhou et al · 2018
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“DeepView: View Synthesis With Learned Gradient Descent”
J. Flynn et al · 2019
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“Neural Volumes: Learning Dynamic Renderable Volumes from Images”
Stephen Lombardi et al · 2019
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“Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines”
Ben Mildenhall et al · 2019
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“DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation”
J.. Park et al · 2019
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“Pushing the Boundaries of View Extrapolation With Multiplane Images”
P.. Srinivasan et al · 2019
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“Deepvoxels: Learning persistent 3d feature embeddings”
Vincent Sitzmann et al · 2019
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“Scene representation networks: Continuous 3d-structure-aware neural scene representations”
Vincent Sitzmann, Michael Zollh\"ofer and Gordon Wetzstein · 2019
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“FLIP: A Difference Evaluator for Alternating Images”
Pontus Andersson et al · 2020
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“Immersive Light Field Video with a Layered Mesh Representation”
Michael Broxton et al · 2020
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“X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation”
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel and Tobias Ritschel · 2020
Cited alongside, same era.
“Neural Radiance Flow for 4D View Synthesis and Video Processing”
Yilun Du et al · 2020
Cited alongside, same era.
“Portrait Neural Radiance Fields from a Single Image”
Chen Gao et al · 2020
Cited alongside, same era.
“Neural sparse voxel fields”
Lingjie Liu et al · 2020
Cited alongside, same era.
“NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis”
Ben Mildenhall et al · 2020
Cited alongside, same era.
“Baking Neural Radiance Fields for Real-Time View Synthesis”
Peter Hedman et al · 2021
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“AutoInt: Automatic Integration for Fast Neural Volume Rendering”
David. Lindell, Julien.P. Martel and Gordon Wetzstein · 2021
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“Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes”
Zhengqi Li, Simon Niklaus, Noah Snavely and Oliver Wang · 2021
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“Mixture of Volumetric Primitives for Efficient Neural Rendering”, 2021
Stephen Lombardi et al · 2021
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“NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections”
Ricardo Martin-Brualla et al · 2021
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“GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields”
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Keunhong Park et al · 2020
Cited alongside, same era.
“GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis”
Katja Schwarz, Yiyi Liao, Michael Niemeyer and Andreas Geiger · 2020
Cited alongside, same era.
“Implicit Neural Representations with Periodic Activation Functions”
Vincent Sitzmann et al · 2020
Cited alongside, same era.
“Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains”
Matthew Tancik et al · 2020
Cited alongside, same era.
“GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering”
Alex Trevithick and Bo Yang · 2020
Cited alongside, same era.
“Space-time Neural Irradiance Fields for Free-Viewpoint Video”
Wenqi Xian, Jia-Bin Huang, Johannes Kopf and Changil Kim · 2020
Cited alongside, same era.
“pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis”
Eric Chan et al · 2021
Cited alongside, same era.
Michael Niemeyer and Andreas Geiger · 2021
Closest in time.
“Neural Scene Graphs for Dynamic Scenes”
Julian Ost et al · 2021
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“D-NeRF: Neural Radiance Fields for Dynamic Scenes”
Albert Pumarola, Enric Corona, Gerard Pons-Moll and Francesc Moreno-Noguer · 2021
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“DeRF: Decomposed Radiance Fields”
Daniel Rebain et al · 2021
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“KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs”, 2021
Christian Reiser, Songyou Peng, Yiyi Liao and Andreas Geiger · 2021
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“NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis”
Pratul. Srinivasan et al · 2021
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“NeX: Real-time View Synthesis with Neural Basis Expansion”
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai and Supasorn Suwajanakorn · 2021
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“STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering”
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt and Steven Lovegrove · 2021
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“PlenOctrees for Real-time Rendering of Neural Radiance Fields”
Alex Yu et al · 2021
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“pixelNeRF: Neural Radiance Fields From One or Few Images”
Alex Yu, Vickie Ye, Matthew Tancik and Angjoo Kanazawa · 2021
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