Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems.
Daniel KelshawGeorgios RigasLuca MagriPublished in: CoRR (2022)
Keyphrases
- dynamical systems
- super resolution
- low resolution
- high resolution
- image reconstruction
- image restoration
- dense motion estimation
- low resolution images
- nonlinear dynamical systems
- past observations
- image super resolution
- high quality
- high resolution images
- resolution enhancement
- linear dynamical systems
- phase space
- super resolution reconstruction
- multi frame
- motion blur
- super resolved
- sparse representation
- motion estimation
- compressive sensing
- higher resolution
- image patches
- machine learning
- depth map
- super resolution algorithm
- predictive state representations
- high dimensional
- dictionary learning
- learning algorithm