← Processing
Computer Vision › Processing ›

Image Restoration

3606 directly classified papers

Papers per year

Papers

Structure-Preserving Super Resolution With Gradient Guidance CVPR 2020
Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement AAAI 2020
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks AAAI 2020
Bringing Old Photos Back to Life CVPR 2020
Space-Time-Aware Multi-Resolution Video Enhancement CVPR 2020
Generate (Non-Software) Bugs to Fool Classifiers AAAI 2020
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging CVPR 2020
RDCFace: Radial Distortion Correction for Face Recognition CVPR 2020
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising CVPR 2020
Boosting Semantic Human Matting With Coarse Annotations CVPR 2020
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes CVPR 2020
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring CVPR 2020
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution CVPR 2020
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020
Image Demoireing with Learnable Bandpass Filters CVPR 2020
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs NIPS 2020
Deblurring by Realistic Blurring CVPR 2020
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training CVPR 2020
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network AAAI 2020
Separate in Latent Space: Unsupervised Single Image Layer Separation AAAI 2020
Facial Attribute Capsules for Noise Face Super Resolution AAAI 2020
Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning AAAI 2020
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal AAAI 2020
EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network AAAI 2020