Co-occurring keywords · papers mentioning both
Papers
Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation
ICCV 2021
SinGAN-GIF: Learning a Generative Video Model From a Single GIF
WACV 2021
Single Pair Cross-Modality Super Resolution
CVPR 2021
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
NeurIPS 2021
Super Resolve Dynamic Scene From Continuous Spike Streams
ICCV 2021
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training
CVPR 2021
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
ICML 2020
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
CVPR 2020
Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention
IJCAI 2020
Explorable Super Resolution
CVPR 2020
High-Order Residual Network for Light Field Super-Resolution
AAAI 2020
Learning to Super Resolve Intensity Images From Events
CVPR 2020
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
RSS 2020
Structure-Preserving Super Resolution With Gradient Guidance
CVPR 2020
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
ICML 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
NeurIPS 2020
cGANs with Projection Discriminator
ICLR 2018
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
IJCAI 2018
Mesoscopic Facial Geometry Inference Using Deep Neural Networks
CVPR 2018
Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes
CVPR 2018
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
CVPR 2018
Deeply Aggregated Alternating Minimization for Image Restoration
CVPR 2017
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
NeurIPS 2016
PSyCo: Manifold Span Reduction for Super Resolution
CVPR 2016
Studying Very Low Resolution Recognition Using Deep Networks
CVPR 2016