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NeRF-based techniques fit wide and deep multi-layer perceptrons (MLPs) to a continuous radiance field that can be rendered from any unseen viewpoint.
Marching cubes: A high resolution 3d surface construction algorithm
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John C Hart et al · 1993
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Multiscale structural similarity for image quality assessment
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Adam: A method for stochastic optimization
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Pixelwise view selection for unstructured multi-view stereo
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Single-image svbrdf capture with a rendering-aware deep network
Valentin Deschaintre, Miika Aittala, Fredo Durand, George Drettakis, and Adrien Bousseau · 2018
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Intel, 2018
2018
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Ray tracing in one weekend-the book series, 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Escaping plato’s cave using adversarial training: 3d shape from unstructured 2d image collections
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Occupancy networks: Learning 3d reconstruction in function space
Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard A. Newcombe, and Steven Lovegrove · 2019
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Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin · 2021
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functorch: Jax-like composable function transforms for pytorch
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Autoint: Automatic integration for fast neural volume rendering
David B Lindell, Julien NP Martel, and Gordon Wetzstein · 2021
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GNeRF: GAN-based Neural Radiance Field without Posed Camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
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Donerf: Towards real-time rendering of compact neural radiance fields using depth oracle networks
Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Joerg H Mueller, Chakravarty R Alla Chaitanya, Anton Kaplanyan, and Markus Steinberger · 2021
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D-nerf: Neural radiance fields for dynamic scenes, 2020
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Implicit neural representations with periodic activation functions
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Fourier features let networks learn high frequency functions in low dimensional domains, 2020
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Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video, 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
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Plenoctrees for real-time rendering of neural radiance fields
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Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
Xiuming Zhang, Pratul P Srinivasan, Boyang Deng, Paul Debevec, William T Freeman, and Jonathan T Barron · 2021
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Cadex: Learning canonical deformation coordinate space for dynamic surface representation via neural homeomorphism
Jiahui Lei and Kostas Daniilidis · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
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