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Learning to Sample the Most Useful Training Patches from Images
Some image restoration tasks like demosaicing require difficult training...
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Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs
Moire artifacts are common in digital photography, resulting from the in...
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Diagnosing and Preventing Instabilities in Recurrent Video Processing
Recurrent models are becoming a popular choice for video enhancement tas...
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Video Super-resolution with Temporal Group Attention
Video super-resolution, which aims at producing a high-resolution video ...
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Wavelet-Based Dual-Branch Network for Image Demoireing
When smartphone cameras are used to take photos of digital screens, usua...
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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NTIRE 2020 Challenge on Image Demoireing: Methods and Results
This paper reviews the Challenge on Image Demoireing that was part of th...
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Image Demoireing with Learnable Bandpass Filters
Image demoireing is a multi-faceted image restoration task involving bot...
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DeepLPF: Deep Local Parametric Filters for Image Enhancement
Digital artists often improve the aesthetic quality of digital photograp...
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Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem
This work investigates the task of unsupervised model personalization, a...
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A Multi-Hypothesis Classification Approach to Color Constancy
Contemporary approaches frame the color constancy problem as learning ca...
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A Multi-Hypothesis Approach to Color Constancy
Contemporary approaches frame the color constancy problem as learning ca...
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Reconstructing the Noise Manifold for Image Denoising
Deep Convolutional Neural Networks (DCNNs) have been successfully used i...
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DIFAR: Deep Image Formation and Retouching
We present a novel neural network architecture for the image signal proc...
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Pixel Adaptive Filtering Units
State-of-the-art methods for computer vision rely heavily on the transla...
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AIM 2019 Challenge on Image Demoireing: Methods and Results
This paper reviews the first-ever image demoireing challenge that was pa...
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AIM 2019 Challenge on Image Demoireing: Dataset and Study
This paper introduces a novel dataset, called LCDMoire, which was create...
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SteReFo: Efficient Image Refocusing with Stereo Vision
Whether to attract viewer attention to a particular object, give the imp...
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Continual learning: A comparative study on how to defy forgetting in classification tasks
Artificial neural networks thrive in solving the classification problem ...
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NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
Denoising extreme low light images is a challenging task due to the high...
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Meta-Learning for Few-shot Camera-Adaptive Color Constancy
Digital camera pipelines employ color constancy methods to estimate an u...
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Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models
Magnetic Resonance Spectroscopy (MRS) provides valuable information to h...
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