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W24
Advances in Image Manipulation Workshop and Challenges
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Residual Feature Distillation Network for Lightweight Image Super-Resolution. -Efficient Image Super-Resolution using Pixel Attention
LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture
Efficient Super-Resolution using MobileNetV3
Multi-Attention Based Ultra Lightweight Image Super-Resolution
Adaptive Hybrid Composition based Super-Resolution Network via Fine-grained Channel Pruning
IdleSR: E cient Super-Resolution Network with Multi-Scale IdleBlocks
IM 2020 Challenge on Learned Image Signal Processing Pipeline
EEDNet: Enhanced Encoder Decoder Network for AutoISP
AWNet: Attentive Wavelet Network for ImageISP
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing
AIM 2020 Challenge on Rendering Realistic Bokeh
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
Bokeh Rendering from Defocus Estimation
Human Motion Transfer from Poses in the Wild
FamilyGAN: Generating Kin Face Images using Generative Adversarial Networks
Genetic-GAN: Synthesizing images between two domains by genetic crossover
GIA-Net: Global Information Aware Network for Low-light Imaging
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network
A Benchmark for Burst Color Constancy
Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Real Image Super Resolution via Heterogeneous Model Ensemble using GP-NAS
Enhanced Adaptive Dense Connection Single Image Super-Resolution
Self-Calibrated Attention Neural Network for Real-World Super Resolution
FAN: Frequency Aggregation Network for Real Image Super-resolution
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
AIM 2020: Scene Relighting and Illumination Estimation Challenge
WDRN : A Wavelet Decomposed RelightNet for Image Relighting
SA-AE for Any-to-any Relighting
Deep Relighting Networks for Image Light Source Manipulation
LightNet: Deep Learning based Illumination Estimation from Virtual Images
An Ensemble Neural Network for Scene Relighting with Light Classification
Long-Term Human Video Generation of Multiple Futures Using Poses
AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs
Unconstrained Text Detection in Manga: a New Dataset and Baseline
Joint Demosaicking and Denoising for CFA and MSFA Images using a Mosaic-Adaptive Dense Residual Network
Gated Texture CNN for Efficient and Configurable Image Denoising
Quantized Warping and Residual Temporal Integration for Video Super-Resolution on Fast Motions
Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution
AIM 2020 Challenge on Image Extreme Inpainting
Fast Light-Weight Network for Extreme Image Inpainting Challenge.
Advances in Image Manipulation Workshop and Challenges
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Residual Feature Distillation Network for Lightweight Image Super-Resolution. -Efficient Image Super-Resolution using Pixel Attention
LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture
Efficient Super-Resolution using MobileNetV3
Multi-Attention Based Ultra Lightweight Image Super-Resolution
Adaptive Hybrid Composition based Super-Resolution Network via Fine-grained Channel Pruning
IdleSR: E cient Super-Resolution Network with Multi-Scale IdleBlocks
IM 2020 Challenge on Learned Image Signal Processing Pipeline
EEDNet: Enhanced Encoder Decoder Network for AutoISP
AWNet: Attentive Wavelet Network for ImageISP
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing
AIM 2020 Challenge on Rendering Realistic Bokeh
BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh
Bokeh Rendering from Defocus Estimation
Human Motion Transfer from Poses in the Wild
FamilyGAN: Generating Kin Face Images using Generative Adversarial Networks
Genetic-GAN: Synthesizing images between two domains by genetic crossover
GIA-Net: Global Information Aware Network for Low-light Imaging
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network
A Benchmark for Burst Color Constancy
Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Real Image Super Resolution via Heterogeneous Model Ensemble using GP-NAS
Enhanced Adaptive Dense Connection Single Image Super-Resolution
Self-Calibrated Attention Neural Network for Real-World Super Resolution
FAN: Frequency Aggregation Network for Real Image Super-resolution
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
AIM 2020: Scene Relighting and Illumination Estimation Challenge
WDRN : A Wavelet Decomposed RelightNet for Image Relighting
SA-AE for Any-to-any Relighting
Deep Relighting Networks for Image Light Source Manipulation
LightNet: Deep Learning based Illumination Estimation from Virtual Images
An Ensemble Neural Network for Scene Relighting with Light Classification
Long-Term Human Video Generation of Multiple Futures Using Poses
AgingMapGAN (AMGAN): High-Resolution Controllable Face Aging with Spatially-Aware Conditional GANs
Unconstrained Text Detection in Manga: a New Dataset and Baseline
Joint Demosaicking and Denoising for CFA and MSFA Images using a Mosaic-Adaptive Dense Residual Network
Gated Texture CNN for Efficient and Configurable Image Denoising
Quantized Warping and Residual Temporal Integration for Video Super-Resolution on Fast Motions
Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution
AIM 2020 Challenge on Image Extreme Inpainting
Fast Light-Weight Network for Extreme Image Inpainting Challenge.