Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
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Updated
Jun 29, 2018 - Python
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
low level computer vision 任务研究的一些阅读感想记录
I Can See Clearly Now : Image Restoration via De-Raining unofficial code implementation(pytorch)
Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources.
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus (Code @fkluger)
KITTI dataset horizon line extension proposed in the paper "Temporally Consistent Horizon Lines" (Code @fkluger)
Temporally Consistent Horizon Lines (Code @fkluger)
(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
Official repository for the ECCV20 paper: " From Shadow Segmentation to Shadow Removal"
NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Covering image processing and computer vision concepts with small c++ programs ranging from reading an image, histogram manipulation to object tracking.
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
[CVPR 2022] Unofficial repository for "MAXIM: Multi-Axis MLP for Image Processing". Official repo: https://github.com/google-research/maxim
Generative Adversarial Networks for Image Super-Resolution: A Survey
Spatial-Spectral Quasi-Attention Recurrent Network for Hyperspectral Image Denoising.
Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
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