Martina Cilia

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning

Developing deep learning techniques for super-resolving bursts of images acquired by mobile cameras is a topic that has recently gained significant interest. This topic fits the general problem of learning-based multi-image super-resolution (SR), which, contrary to its sibling single-image SR, has s…