Fetching the paper…
Reading the bibliography…
In many recent works, multi-layer perceptions (MLPs) have been shown to be suitable for modeling complex spatially-varying functions including images and 3D scenes.
Neural Point-Based Graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky. 2020 · 1906
Earlier work this paper cites.
Processing ranger and mariner photography
Fred C Billingsley. 1966 · 1966
Earlier work this paper cites.
Optical models for direct volume rendering
Nelson Max. 1995 · 1995
Earlier work this paper cites.
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
Thu Nguyen-Phuoc, Christian Richardt, Long Mai, Yong-Liang Yang, and Niloy J. Mitra. 2020 · 2002
Earlier work this paper cites.
Combining edges and points for interactive high-quality rendering
Kavita Bala, Bruce Walter, and Donald P Greenberg. 2003 · 2003
Earlier work this paper cites.
Shadow silhouette maps
Pradeep Sen, Mike Cammarano, and Pat Hanrahan. 2003 · 2003
Earlier work this paper cites.
Feature-based textures
Ganesh Ramanarayanan, Kavita Bala, and Bruce Walter. 2004 · 2004
Earlier work this paper cites.
Silhouette maps for improved texture magnification. In Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware . 65–73
Pradeep Sen. 2004 · 2004
Earlier work this paper cites.
Bixels: Picture samples with sharp embedded boundaries.. In Rendering Techniques . Citeseer, 255–264
Jack Tumblin and Prasun Choudhury. 2004 · 2004
Earlier work this paper cites.
Efficient magnification of bi-level textures
Jörn Loviscach. 2005 · 2005
Earlier work this paper cites.
Pinchmaps: Textures with customizable discontinuities. In Computer Graphics Forum , Vol. 24. Blackwell Publishing, Inc Oxford, UK and Boston, USA, 557–568
Marco Tarini and Paolo Cignoni. 2005 · 2005
Earlier work this paper cites.
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein. 2020 · 2006
Earlier work this paper cites.
Real-time rendering of textures with feature curves
Evgueni Parilov and Denis Zorin. 2008 · 2008
Earlier work this paper cites.
Split-Voxel: A Simple Discontinuity-Preserving Voxel Representation for Volume Rendering.. In VG@ Eurographics . 21–28
Marco Agus, Enrico Gobbetti, José Antonio Iglesias Guitián, and Fabio Marton. 2010 · 2010
Earlier work this paper cites.
Efficient sparse voxel octrees
Samuli Laine and Tero Karras. 2010 · 2010
Earlier work this paper cites.
Two-Colored Pixels. In Computer Graphics Forum , Vol. 29. Wiley Online Library, 743–752
Darko Pavić and Leif Kobbelt. 2010 · 2010
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Structure-from-motion revisited. In IEEE CVPR . 4104–4113
Johannes L Schonberger and Jan-Michael Frahm. 2016 · 2016
Cited alongside, same era.
Multi-view supervision for single-view reconstruction via differentiable ray consistency. In Proceedings of the IEEE conference on computer vision and pattern recognition . 2626–2634
Shubham Tulsiani, Tinghui Zhou, Alexei A Efros, and Jitendra Malik. 2017 · 2017
Cited alongside, same era.
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, and Mathieu Aubry. 2018 · 2018
Local Implicit Grid Representations for 3D Scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Chiyu Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, and Thomas Funkhouser. 2020 · 2020
Later among the works it cites.
Neural Sparse Voxel Fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt. 2020 · 2020
Later among the works it cites.
Nerf: Representing scenes as neural radiance fields for view synthesis. In ECCV . 405–421
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
Later among the works it cites.
Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger. 2020 · 2020
Later among the works it cites.
Nerf-Pytorch
2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation. In International Conference on Learning Representations
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2018 · 2018
Cited alongside, same era.
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018 · 2018
Cited alongside, same era.
Learning implicit fields for generative shape modeling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5939–5948
Zhiqin Chen and Hao Zhang. 2019 · 2019
Cited alongside, same era.
Escaping plato’s cave: 3d shape from adversarial rendering. In ICCV . 9984–9993
Philipp Henzler, Niloy J Mitra, and Tobias Ritschel. 2019 · 2019
Cited alongside, same era.
Occupancy networks: Learning 3d reconstruction in function space. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4460–4470
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019 · 2019
Cited alongside, same era.
Hologan: Unsupervised learning of 3d representations from natural images. In ICCV . 7588–7597
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang. 2019 · 2019
Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 165–174
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove. 2019 · 2019
Cited alongside, same era.
Stephan J Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien Valentin. 2021 · 2021
Later among the works it 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
Later among the works it cites.
ACORN: Adaptive Coordinate Networks for Neural Scene Representation
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, and Gordon Wetzstein. 2021 · 2021
Later among the works it cites.
Giraffe: Representing scenes as compositional generative neural feature fields. In IEEE CVPR . 11453–11464
Michael Niemeyer and Andreas Geiger. 2021 · 2021
Later among the works it cites.
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021
Later among the works it cites.
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2021 · 2021
Later among the works it cites.
Nex: Real-time view synthesis with neural basis expansion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8534–8543
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn. 2021 · 2021
Later among the works it cites.
Plenoctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa. 2021b · 2021
Later among the works it cites.
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
Closest in time.