Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees

Keyphrases

• Linear Inverse Problems 100%
• Compressed Sensing 50%
• Learning-based 50%
• Generative Adversarial Networks 50%
• Superior Performance 25%
• Convergence Rate 25%
• Natural Images 25%
• Sparsity 25%
• Natural Signals 25%
• Discriminative Ability 25%
• Sparsity Basis 25%
• Gradient Projection 25%
• Sparsity Prior 25%

Engineering

• Sparsity 100%
• Compressive Sensing 66%
• Rate of Convergence 33%
• Gradient Descent 33%

Mathematics

• Linear Inverse Problems 100%