Computer Vision – ECCV 2020 Workshops

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 ImageExtreme Inpainting.- Fast Light-Weight Network for Extreme Image Inpainting Challenge.