COIN: COmpression with Implicit Neural representations

3 March 2021

Papers citing "COIN: COmpression with Implicit Neural representations"

37 / 37 papers shown

Title
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition Woo Kyoung Han Byeonghun Lee Hyunmin Cho Sunghoon Im Kyong Hwan Jin MQ 396 0 0 28 Feb 2025
CANeRV: Content Adaptive Neural Representation for Video Compression Lv Tang Jun Zhu Xinfeng Zhang Li Zhang Siwei Ma Qingming Huang 144 1 0 10 Feb 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 88 1 0 20 Jan 2025
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 159 1 0 30 Nov 2024
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data David Heurtel-Depeiges Anian Ruoss J. Veness Tim Genewein 146 2 0 07 Oct 2024
Learning Transferable Features for Implicit Neural Representations Kushal Vyas Ahmed Imtiaz Humayun Aniket Dashpute Richard G. Baraniuk Ashok Veeraraghavan Guha Balakrishnan OOD 147 4 0 15 Sep 2024
Image-GS: Content-Adaptive Image Representation via 2D Gaussians Yunxiang Zhang Bingxuan Li Alexandr Kuznetsov Akshay Jindal Stavros Diolatzis Kenneth Chen Anton Sochenov Anton Kaplanyan Qi Sun 3DGS 104 4 0 02 Jul 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 76 3 0 31 May 2024
High Quality Segmentation for Ultra High-resolution Images Tiancheng Shen Yuechen Zhang Lu Qi Jason Kuen Xingyu Xie Jianlong Wu Zhe Lin Jiaya Jia 139 42 0 29 Nov 2021
Generative Models as Distributions of Functions Emilien Dupont Yee Whye Teh Arnaud Doucet 56 108 0 09 Feb 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression T. V. Rozendaal Iris A. M. Huijben Taco S. Cohen 58 47 0 21 Jan 2021
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 171 1,736 0 03 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural Representations Matthew Tancik B. Mildenhall Terrance Wang Divi Schmidt Pratul P. Srinivasan Jonathan T. Barron Ren Ng 99 290 0 03 Dec 2020
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research Jean Bégaint Fabien Racapé Simon Feltman Akshay Pushparaja VLM 56 425 0 05 Nov 2020
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 116 2,414 0 18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions Vincent Sitzmann E. R. Chan Richard Tucker Noah Snavely Gordon Wetzstein 62 247 0 17 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 123 2,548 0 17 Jun 2020
Equivariant Neural Rendering Emilien Dupont Miguel Angel Bautista Alex Colburn Aditya Sankar Carlos Guestrin J. Susskind Qi Shan 3DH 78 63 0 13 Jun 2020
Improving Inference for Neural Image Compression Yibo Yang Robert Bamler Stephan Mandt 70 123 0 07 Jun 2020
Bayesian Bits: Unifying Quantization and Pruning M. V. Baalen Christos Louizos Markus Nagel Rana Ali Amjad Ying Wang Tijmen Blankevoort Max Welling MQ 54 114 0 14 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 434 42,393 0 03 Dec 2019
Content Adaptive Optimization for Neural Image Compression Joaquim Campos Simon Meierhans Abdelaziz Djelouah Christopher Schroers 50 64 0 04 Jun 2019
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies Ronen Basri David Jacobs Yoni Kasten S. Kritchman 64 218 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 120 3,680 0 16 Jan 2019
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 132 1,631 0 06 Dec 2018
DeepVoxels: Learning Persistent 3D Feature Embeddings Vincent Sitzmann Justus Thies Felix Heide Matthias Nießner Gordon Wetzstein Michael Zollhöfer SSL 3DPC MDE 112 668 0 03 Dec 2018
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters Marton Havasi Robert Peharz José Miguel Hernández-Lobato 58 82 0 30 Sep 2018
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 72 1,273 0 08 Sep 2018
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 70 167 0 24 Jul 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 129 1,015 0 21 Jun 2018
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes Thu Nguyen-Phuoc Chuan Li Stephen Balaban Yong-Liang Yang 3DV 101 154 0 18 Jun 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 133 243 0 07 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 125 283 0 10 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 143 3,121 0 15 Dec 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 74 85 0 17 Oct 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 161 479 0 24 May 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 164 417 0 13 Feb 2017