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Implicit neural representations (INRs) have recently advanced numerous vision-related areas.
Volume/surface octrees for the representation of three-dimensional objects
Chiun-Hong Chien and Jake K Aggarwal · 1986
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Calculation of a constant q spectral transform
Judith C Brown · 1991
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Image compression through wavelet transform coding
Ronald A DeVore, Björn Jawerth, and Bradley J Lucier · 1992
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Embedded image coding using zerotrees of wavelet coefficients
Jerome M Shapiro · 1993
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Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Bruno A Olshausen and David J Field · 1996
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Regression shrinkage and selection via the lasso
Robert Tibshirani · 1996
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Nonlinear approximation
Ronald A. DeVore · 1998
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A wavelet tour of signal processing
Stéphane Mallat · 1999
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New tight frames of curvelets and optimal representations of objects with piecewise c2 singularities
Emmanuel J Candès and David L Donoho · 2004
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An algorithm for total variation minimization and applications
Antonin Chambolle · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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K-svd: An algorithm for designing overcomplete dictionaries for sparse representation
Michal Aharon, Michael Elad, and Alfred Bruckstein · 2006
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Compressive imaging for video representation and coding
Michael B. Wakin, Jason N. Laska, Marco F. Duarte, Dror Baron, Shriram Sarvotham, Dharmpal Takhar, Kevin F. Kelly, and Richard G. Baraniuk · 2006
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Wavelet-domain approximation and compression of piecewise smooth images
Michael B Wakin, Justin K Romberg, Hyeokho Choi, and Richard G Baraniuk · 2006
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Color image denoising via sparse 3d collaborative filtering with grouping constraint in luminance-chrominance space
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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Exploiting structure in wavelet-based bayesian compressive sensing
Lihan He and Lawrence Carin · 2009
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Model-based compressive sensing
Richard G Baraniuk, Volkan Cevher, Marco F Duarte, and Chinmay Hegde · 2010
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The cancer imaging archive (tcia): maintaining and operating a public information repository
Kenneth Clark, Bruce Vendt, Kirk Smith, John Freymann, Justin Kirby, Paul Koppel, Stephen Moore, Stanley Phillips, David Maffitt, Michael Pringle, et al · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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NTIRE 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2017
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Plug & play generative networks: Conditional iterative generation of images in latent space
Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, and Jason Yosinski · 2017
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One network to solve them all–solving linear inverse problems using deep projection models
JH Rick Chang, Chun-Liang Li, Barnabas Poczos, BVK Vijaya Kumar, and Aswin C Sankaranarayanan · 2017
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The little engine that could: Regularization by denoising (red)
Törf: Time-of-flight radiance fields for dynamic scene view synthesis
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, and Matthew O’Toole · 2021
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Learning continuous image representation with local implicit image function
Yinbo Chen, Sifei Liu, and Xiaolong Wang · 2021
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Accelerated MRI with un-trained neural networks
Mohammad Zalbagi Darestani and Reinhard Heckel · 2021
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NeuMIP: Multi-resolution neural materials
Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Miloš Hašan, and Ravi Ramamoorthi · 2021
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Acorn: Adaptive coordinate networks for neural scene representation
Julien NP Martel, David B Lindell, Connor Z Lin, Eric R Chan, Marco Monteiro, and Gordon Wetzstein · 2021
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Yaniv Romano, Michael Elad, and Peyman Milanfar · 2017
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Constant q cepstral coefficients: A spoofing countermeasure for automatic speaker verification
Massimiliano Todisco, Héctor Delgado, and Nicholas Evans · 2017
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Deep decoder: Concise image representations from untrained non-convolutional networks
Reinhard Heckel and Paul Hand · 2018
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Neural tangent kernel: Convergence and generalization in neural networks
Arthur Jacot, Franck Gabriel, and Clement Hongler · 2018
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Deep image prior
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2018
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Wide neural networks of any depth evolve as linear models under gradient descent
Jaehoon Lee, Lechao Xiao, Samuel Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl-Dickstein, and Jeffrey Pennington · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Beyond periodicity: Towards a unifying framework for activations in coordinate-mlps
Sameera Ramasinghe and Simon Lucey · 2021
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Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
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Coil: Coordinate-based internal learning for imaging inverse problems
Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, and Ulugbek S Kamilov · 2021
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http://r0k.us/graphics/kodak/ , 1999
Kodak lossless true color image suite · 2022
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https://www.kaggle.com/c/tiny-imagenet , 2015
Tiny imagenet visual recognition challenge · 2022
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Fov-nerf: Foveated neural radiance fields for virtual reality
Nianchen Deng, Zhenyi He, Jiannan Ye, Budmonde Duinkharjav, Praneeth Chakravarthula, Xubo Yang, and Qi Sun · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Deeptensor: Low-rank tensor decomposition with deep network priors
Vishwanath Saragadam, Randall Balestriero, Ashok Veeraraghavan, and Richard G Baraniuk · 2022
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Miner: Multiscale implicit neural representations
Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard Baraniuk, and Ashok Veeraraghavan · 2022
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Torch-ngp: a pytorch implementation of instant-ngp, 2022
Jiaxiang Tang · 2022
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Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery
Yuehao Wang, Yonghao Long, Siu Hin Fan, and Qi Dou · 2022
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A structured dictionary perspective on implicit neural representations
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, and Pascal Frossard · 2022
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