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Learning-based Spatial and Angular Information Separation for Light Field Compression

13 April 2023

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Papers citing "Learning-based Spatial and Angular Information Separation for Light Field Compression"

9 / 9 papers shown

Title
Occlusion-Aware Cost Constructor for Light Field Depth Estimation Yingqian Wang Longguang Wang Zhengyu Liang Jung-Mo Yang W. An Yulan Guo 3DV 76 79 0 03 Mar 2022
Convolutional Neural Network Pruning with Structural Redundancy Reduction Zehao Wang Chengcheng Li Xiangyang Wang 3DPC 67 160 0 08 Apr 2021
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
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
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement Ren Yang Fabian Mentzer Luc Van Gool Radu Timofte 50 206 0 04 Mar 2020
Geometry-Aware Graph Transforms for Light Field Compact Representation Mira Rizkallah Xin Su Thomas Maugey C. Guillemot 34 24 0 08 Mar 2019
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 90 287 0 02 Oct 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 62 438 0 10 Apr 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 156 3,138 0 15 Dec 2017