BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment. (arXiv:2204.08332v2 [cs.CV] UPDATED)

This work addresses the Burst Super-Resolution (BurstSR) task using a new
architecture, which requires restoring a high-quality image from a sequence of
noisy, misaligned, and low-resolution RAW bursts. To overcome the challenges in
BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can
significantly improve the capability of extracting inter-frame information and
reconstruction. To achieve this goal, we propose a Pyramid Flow-Guided
Deformable Convolution Network (Pyramid FG-DCN) and incorporate Swin
Transformer Blocks and Groups as our main backbone. More specifically, …

alignment arxiv cv flow swin transformer