NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling

30 December 2022

Papers citing "NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling"

39 / 39 papers shown

Title
CANeRV: Content Adaptive Neural Representation for Video Compression Lv Tang Jun Zhu Xinfeng Zhang Li Zhang Siwei Ma Qingming Huang 163 1 0 10 Feb 2025
SNeRV: Spectra-preserving Neural Representation for Video Jina Kim Jihoo Lee Je-Won Kang 103 4 0 03 Jan 2025
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 169 1 0 30 Nov 2024
Learning Transferable Features for Implicit Neural Representations Kushal Vyas Ahmed Imtiaz Humayun Aniket Dashpute Richard G. Baraniuk Ashok Veeraraghavan Guha Balakrishnan OOD 169 4 0 15 Sep 2024
Towards Scalable Neural Representation for Diverse Videos Bo He Xitong Yang Hanyu Wang Zuxuan Wu Hao Chen Shuaiyi Huang Yixuan Ren Ser-Nam Lim Abhinav Shrivastava 77 42 0 24 Mar 2023
Scalable Neural Video Representations with Learnable Positional Features Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin 74 35 0 13 Oct 2022
PS-NeRV: Patch-wise Stylized Neural Representations for Videos Yu Bai Chao Dong Cairong Wang 46 37 0 07 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 74 67 0 04 Aug 2022
Efficient Meta-Tuning for Content-aware Neural Video Delivery Xiaoqi Li Jiaming Liu Shizun Wang Cheng Lyu Ming Lu Yurong Chen Anbang Yao Yandong Guo Shanghang Zhang 66 12 0 20 Jul 2022
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context Zizhang Li Mengmeng Wang Huaijin Pi Kechun Xu Jianbiao Mei Yong Liu 73 73 0 17 Jul 2022
Residual Multiplicative Filter Networks for Multiscale Reconstruction Shayan Shekarforoush David B. Lindell David J. Fleet Marcus A. Brubaker 29 27 0 01 Jun 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 65 11 0 06 Apr 2022
MINER: Multiscale Implicit Neural Representations Vishwanath Saragadam Jasper Tan Guha Balakrishnan Richard G. Baraniuk Ashok Veeraraghavan AI4TS 65 23 0 07 Feb 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 327 4,017 0 16 Jan 2022
Neural Residual Flow Fields for Efficient Video Representations Daniel Rho Ju-Hee Cho J. Ko Eunbyung Park 54 21 0 12 Jan 2022
Implicit Neural Video Compression Yunfan Zhang T. V. Rozendaal Johann Brehmer Markus Nagel Taco S. Cohen 87 57 0 21 Dec 2021
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation David B. Lindell Dave Van Veen Jeong Joon Park Gordon Wetzstein 81 150 0 09 Dec 2021
Implicit Neural Representations for Image Compression Yannick Strümpler Janis Postels Ren Yang Luc van Gool F. Tombari 71 164 0 08 Dec 2021
Meta-Learning Sparse Implicit Neural Representations Jaehoon Lee Jihoon Tack Namhoon Lee Jinwoo Shin 76 47 0 27 Oct 2021
NeRV: Neural Representations for Videos Hao Chen Bo He Hanyu Wang Yixuan Ren Ser-Nam Lim Abhinav Shrivastava 55 251 0 26 Oct 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Jingyu Sun OODD 69 45 0 04 Sep 2021
ACORN: Adaptive Coordinate Networks for Neural Scene Representation Julien N. P. Martel David B. Lindell Connor Z. Lin E. R. Chan M. Monteiro Gordon Wetzstein 3DPC 60 90 0 06 May 2021
COIN: COmpression with Implicit Neural representations Emilien Dupont Adam Goliñski Milad Alizadeh Yee Whye Teh Arnaud Doucet 73 225 0 03 Mar 2021
Learning Continuous Image Representation with Local Implicit Image Function Yinbo Chen Sifei Liu Xiaolong Wang SSL SupR CLL 87 676 0 16 Dec 2020
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 121 60 0 08 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 107 290 0 03 Dec 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 124 2,421 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 150 2,556 0 17 Jun 2020
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 93 245 0 15 Apr 2020
And the Bit Goes Down: Revisiting the Quantization of Neural Networks Pierre Stock Armand Joulin Rémi Gribonval Benjamin Graham Hervé Jégou MQ 82 149 0 12 Jul 2019
Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay Johannes Ballé Saurabh Singh Abhinav Shrivastava 53 43 0 15 Jun 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 161 758 0 25 Feb 2019
Joint Autoregressive and Hierarchical Priors for Learned Image Compression David C. Minnen Johannes Ballé G. Toderici 79 1,275 0 08 Sep 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 233 3,473 0 09 Mar 2018
Towards Accurate Binary Convolutional Neural Network Xiaofan Lin Cong Zhao Wei Pan MQ 81 644 0 30 Nov 2017
Lossy Image Compression with Compressive Autoencoders Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár 64 1,054 0 01 Mar 2017
End-to-end Optimized Image Compression Johannes Ballé Valero Laparra Eero P. Simoncelli DRL 85 1,709 0 05 Nov 2016
YouTube-8M: A Large-Scale Video Classification Benchmark Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Apostol Natsev G. Toderici Balakrishnan Varadarajan Sudheendra Vijayanarasimhan VLM 151 1,270 0 27 Sep 2016
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 381 3,135 0 15 Aug 2013