Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution.
Rao Muhammad UmerGian Luca ForestiChristian MicheloniPublished in: CVPR Workshops (2020)
Keyphrases
- super resolution
- low resolution
- high resolution
- image reconstruction
- deep learning
- low resolution images
- resolution enhancement
- image restoration
- high quality
- super resolved
- image super resolution
- video super resolution
- high resolution images
- single frame
- motion estimation
- light field
- super resolution reconstruction
- multi frame
- image processing
- image resolution
- higher resolution
- motion blur
- single image super resolution
- adaptive regularization
- unsupervised learning
- generative model
- high resolution video
- depth map
- image sequences
- degraded images
- super resolution algorithm
- spatial resolution
- sparse coding
- highest resolution