EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2021)

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摘要
We propose a novel architecture to handle the problem of multi-frame super-resolution (MFSR). The proposed framework is known as Enhanced Burst Super-Resolution (EBSR), which divides the MFSR problem into three parts: alignment, fusion, and reconstruction. We propose a Feature Enhanced Pyramid Cascading and Deformable convolution (FEPCD) module to align multiple low-resolution burst images in the ...
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关键词
Training,Computer vision,Correlation,Tracking,Convolution,Conferences,Superresolution
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