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07/12/2023
Learning Kernel-Modulated Neural Representation for Efficient Light Field Compression
Light field is a type of image data that captures the 3D scene informati...
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04/13/2023
Learning-based Spatial and Angular Information Separation for Light Field Compression
Light fields are a type of image data that capture both spatial and angu...
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07/30/2022
Distilled Low Rank Neural Radiance Field with Quantization for Light Field Compression
In this paper, we propose a novel light field compression method based o...
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04/29/2022
Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent
The Plug-and-Play (PnP) framework allows integrating advanced image deno...
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10/01/2021
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration
Plug-and-Play optimization recently emerged as a powerful technique for ...
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03/11/2021
A learning-based view extrapolation method for axial super-resolution
Axial light field resolution refers to the ability to distinguish featur...
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07/24/2020
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling
In this article, we present a very lightweight neural network architectu...
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03/08/2019
Geometry-Aware Graph Transforms for Light Field Compact Representation
The paper addresses the problem of energy compaction of dense 4D light f...
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03/08/2019
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression
Graph-based transforms have been shown to be powerful tools in terms of ...
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01/21/2019
A Fourier Disparity Layer representation for Light Fields
In this paper, we present a new Light Field representation for efficient...
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07/17/2018
Context-adaptive neural network based prediction for image compression
This paper describes a set of neural network architectures, called Predi...
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02/28/2018
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification
Sparse representations using overcomplete dictionaries have proved to be...
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02/23/2018
Autoencoder based image compression: can the learning be quantization independent?
This paper explores the problem of learning transforms for image compres...
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01/12/2018
Light Field Super-Resolution using a Low-Rank Prior and Deep Convolutional Neural Networks
Light field imaging has recently known a regain of interest due to the a...
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06/28/2016
Scalable image coding based on epitomes
In this paper, we propose a novel scheme for scalable image coding based...
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12/18/2015
Face Hallucination using Linear Models of Coupled Sparse Support
Most face super-resolution methods assume that low-resolution and high-r...
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05/06/2015
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction
Local learning of sparse image models has proven to be very effective to...
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02/09/2015
