Co-occurring keywords · papers mentioning both
Papers
An Unsupervised Deep Learning Approach for Real-World Image Denoising
ICLR 2021
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising
IJCAI 2021
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
IJCAI 2021
C2N: Practical Generative Noise Modeling for Real-World Denoising
ICCV 2021
Cross-Patch Graph Convolutional Network for Image Denoising
ICCV 2021
Deep Burst Super-Resolution
CVPR 2021
Deep Convolutional Dictionary Learning for Image Denoising
CVPR 2021
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
CVPR 2021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
ICCV 2021
Dynamic Attentive Graph Learning for Image Restoration
ICCV 2021
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors
CVPR 2021
Efficient Deep Image Denoising via Class Specific Convolution
AAAI 2021
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution
CVPR 2021
End-to-End Unsupervised Document Image Blind Denoising
ICCV 2021
Estimating High Order Gradients of the Data Distribution by Denoising
NeurIPS 2021
EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events
CVPR 2021
Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model
CVPR 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
CVPR 2021
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders
ICLR 2021
Functional Neural Networks for Parametric Image Restoration Problems
NeurIPS 2021
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
ICLR 2021
Hyperspectral Image Denoising With Realistic Data
ICCV 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
ICML 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal
CVPR 2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
AAAI 2021