Hyperspectral Image Compression Using Implicit Neural Representation

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Hyperspectral Image Compression Using Implicit Neural Representation

8 February 2023

Shima Rezasoltani

Faisal Z. Qureshi

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Papers citing "Hyperspectral Image Compression Using Implicit Neural Representation"

16 / 16 papers shown

Title
COIN: COmpression with Implicit Neural representations Emilien Dupont Adam Goliñski Milad Alizadeh Yee Whye Teh Arnaud Doucet 76 226 0 03 Mar 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression T. V. Rozendaal Iris A. M. Huijben Taco S. Cohen 68 47 0 21 Jan 2021
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 124 2,440 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 165 2,571 0 17 Jun 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 85 123 0 07 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 129 2,592 0 19 Mar 2020
Content Adaptive Optimization for Neural Image Compression Joaquim Campos Simon Meierhans Abdelaziz Djelouah Christopher Schroers 52 65 0 04 Jun 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies Ronen Basri David Jacobs Yoni Kasten S. Kritchman 78 218 0 02 Jun 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,705 0 16 Jan 2019
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 150 1,638 0 06 Dec 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 79 1,278 0 08 Sep 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 73 168 0 24 Jul 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 142 243 0 07 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 135 283 0 10 Jan 2018
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 79 85 0 17 Oct 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 98 1,713 0 05 Nov 2016