Journals starting with ntir

NTIRE16 * *New Trends in Image Restoration and Enhancement
* Blind Image Deblurring Using Elastic-Net Based Rank Prior
* CNN-GRNN for Image Sharpness Assessment
* Debluring Low-Resolution Images
* Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise, A
* Generic 3D Convolutional Fusion for Image Restoration
* Local Feature-Based Photo Album Compression by Eliminating Redundancy of Human Partition
* Low-Rank Tensor Recovery and Alignment Based on Lp Minimization
* Model and Dictionary Guided Face Inpainting in the Wild
* Patch Group Based Bayesian Learning for Blind Image Denoising
* Robust Noisy Image Super-Resolution Using l1-norm Regularization and Non-local Constraint
* Single Image Dehazing Using Fixed Points and Nearest-Neighbor Regularization
* Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Gradient Prior Knowledge
* Video Super Resolution Using Non-Local Means with Adaptive Decaying Factor and Searching Window
* Visual Smoke Detection
15 for NTIRE16

NTIRE17 * *New Trends in Image Restoration and Enhancement
* Balanced Two-Stage Residual Networks for Image Super-Resolution
* Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
* Deep Convolutional Neural Network with Selection Units for Super-Resolution, A
* Deep Wavelet Prediction for Image Super-Resolution
* Depth-Stretch: Enhancing Depth Perception Without Depth
* Enhanced Deep Residual Networks for Single Image Super-Resolution
* Exploiting Reflectional and Rotational Invariance in Single Image Superresolution
* Fast and Accurate Image Super-Resolution Using a Combined Loss
* Fast External Denoising Using Pre-Learned Transformations
* FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos
* FormResNet: Formatted Residual Learning for Image Restoration
* Image Denoising via CNNs: An Adversarial Approach
* Image Super Resolution Based on Fusing Multiple Convolution Neural Networks
* Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
* Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy
* NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
* NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
* PaletteNet: Image Recolorization with Given Color Palette
* SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests
20 for NTIRE17

NTIRE20 * *New Trends in Image Restoration and Enhancement
* Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images
* C3Net: Demoiréing Network Attentive in Channel, Color and Concatenation
* Color-wise Attention Network for Low-light Image Enhancement
* DA-cGAN: A Framework for Indoor Radio Design Using a Dimension-Aware Conditional Generative Adversarial Network
* Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
* Deep Wavelet Network with Domain Adaptation for Single Image Demoireing
* Densely Self-guided Wavelet Network for Image Denoising
* Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
* Dual-domain Deep Convolutional Neural Networks for Image Demoireing
* Ensemble Dehazing Networks for Non-homogeneous Haze
* FabSoften: Face Beautification via Dynamic Skin Smoothing, Guided Feathering, and Texture Restoration
* Fast and Flexible Image Blind Denoising via Competition of Experts
* Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing
* FBRNN: Feedback Recurrent Neural Network for Extreme Image Super-Resolution
* GradNet Image Denoising
* Guided Frequency Separation Network for Real-World SuperResolution
* Hierarchical Regression Network for Spectral Reconstruction from RGB Images
* High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring
* Identity Enhanced Residual Image Denoising
* ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig
* Investigating Loss Functions for Extreme Super-Resolution
* Joint Learning of Blind Video Denoising and Optical Flow Estimation
* Knowledge Transfer Dehazing Network for NonHomogeneous Dehazing
* L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion
* LIDIA: Lightweight Learned Image Denoising with Instance Adaptation
* MMDM: Multi-frame and Multi-scale for Image Demoiréing
* Moiré Pattern Removal via Attentive Fractal Network
* MSFSR: A Multi-Stage Face Super-Resolution with Accurate Facial Representation via Enhanced Facial Boundaries
* Multi-Step Reinforcement Learning for Single Image Super-Resolution
* NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images
* NonLocal Channel Attention for NonHomogeneous Image Dehazing
* NTIRE 2020 Challenge on Image and Video Deblurring
* NTIRE 2020 Challenge on Image Demoireing: Methods and Results
* NTIRE 2020 Challenge on NonHomogeneous Dehazing
* NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
* NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
* NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
* NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
* NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
* Perceptual Extreme Super Resolution Network with Receptive Field Block
* Photosequencing of Motion Blur using Short and Long Exposures
* Physically Plausible Spectral Reconstruction from RGB Images
* Real Image Denoising Based on Multi-Scale Residual Dense Block and Cascaded U-Net with Block-Connection
* Real-World Super-Resolution using Generative Adversarial Networks
* Real-World Super-Resolution via Kernel Estimation and Noise Injection
* Rendering Natural Camera Bokeh Effect with Deep Learning
* Replacing Mobile Camera ISP with a Single Deep Learning Model
* Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction
* Residual Pixel Attention Network for Spectral Reconstruction from RGB Images
* Review of an Old Dilemma: Demosaicking First, or Denoising First?, A
* RGB to Spectral Reconstruction via Learned Basis Functions and Weights
* Semantic Pixel Distances for Image Editing
* Sensor-realistic Synthetic Data Engine for Multi-frame High Dynamic Range Photography
* SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
* Sky Optimization: Semantically aware image processing of skies in low-light photography
* Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
* Superkernel Neural Architecture Search for Image Denoising
* Trident Dehazing Network
* Unsupervised Image Super-Resolution with an Indirect Supervised Path
* Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
* Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator
* Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network
63 for NTIRE20

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