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03/31/2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
Neural-network-based single image depth prediction (SIDP) is a challengi...
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02/13/2023
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
We introduce VA-DepthNet, a simple, effective, and accurate deep neural ...
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05/26/2022
Measuring Perceptual Color Differences of Smartphone Photography
Measuring perceptual color differences (CDs) is of great importance in m...
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05/11/2022
Revisiting Random Channel Pruning for Neural Network Compression
Channel (or 3D filter) pruning serves as an effective way to accelerate ...
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04/20/2022
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
In this paper, we summarize the 1st NTIRE challenge on stereo image supe...
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07/27/2021
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
Generative adversarial networks (GANs) have promoted remarkable advances...
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05/28/2021
Improving Facial Attribute Recognition by Group and Graph Learning
Exploiting the relationships between attributes is a key challenge for i...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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03/29/2021
Flow-based Kernel Prior with Application to Blind Super-Resolution
Kernel estimation is generally one of the key problems for blind image s...
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09/14/2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associat...
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09/13/2020
Improving Deep Video Compression by Resolution-adaptive Flow Coding
In the learning based video compression approaches, it is an essential i...
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08/02/2020
Video Super-Resolution with Recurrent Structure-Detail Network
Most video super-resolution methods super-resolve a single reference fra...
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06/30/2020
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
In this paper, we study two challenging and less-touched problems in sin...
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06/29/2020
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture
In this paper, we tackle the problem of convolutional neural network des...
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05/13/2020
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network
We propose the first practical multitask image enhancement network, that...
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04/14/2020
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
Existing unsupervised video-to-video translation methods fail to produce...
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04/02/2020
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
These days, unsupervised super-resolution (SR) has been soaring due to i...
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03/30/2020
DHP: Differentiable Meta Pruning via HyperNetworks
Network pruning has been the driving force for the efficient inference o...
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03/19/2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
In this paper, we analyze two popular network compression techniques, i....
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11/18/2019
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on real world super-resolution...
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11/18/2019
Frequency Separation for Real-World Super-Resolution
Most of the recent literature on image super-resolution (SR) assumes the...
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11/04/2019
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on constrained example-based s...
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08/23/2019
Learning Filter Basis for Convolutional Neural Network Compression
Convolutional neural networks (CNNs) based solutions have achieved state...
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06/17/2019
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Nowadays, due to the ubiquitous visual media there are vast amounts of a...
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04/01/2019
Learning Content-Weighted Deep Image Compression
Learning-based lossy image compression usually involves the joint optimi...
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10/03/2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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07/30/2018
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks
Tremendous advances in image restoration tasks such as denoising and sup...
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01/15/2018
Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression
Arithmetic encoding is an essential class of coding techniques which hav...
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04/11/2017
Learning Deep CNN Denoiser Prior for Image Restoration
Model-based optimization methods and discriminative learning methods hav...
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03/30/2017
Learning Convolutional Networks for Content-weighted Image Compression
Lossy image compression is generally formulated as a joint rate-distorti...
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12/03/2015
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction
Low rank matrix approximation (LRMA), which aims to recover the underlyi...
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05/23/2014
