Deep Learning Techniques for Inverse Problems in Imaging.
Gregory OngieAjil JalalChristopher A. MetzlerRichard G. BaraniukAlexandros G. DimakisRebecca WillettPublished in: CoRR (2020)
Keyphrases
- deep learning
- inverse problems
- image reconstruction
- global optimization
- convex optimization
- unsupervised learning
- machine learning
- optimization methods
- optimization problems
- image processing
- high resolution
- image analysis
- partial differential equations
- mental models
- weakly supervised
- early vision
- smoothness constraint
- computationally expensive
- simulated annealing
- denoising
- semi supervised
- computer vision