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Multi-Frame Super-Resolution

When multiple images of the same view are taken from slightly different positions, perhaps also at different times, then they collectively contain more information than any single image on its own. Multi-Frame Super-Resolution fuses these low-res inputs into a composite high-res image that can reveal some of the original detail that cannot be recovered from any low-res image alone.

( Credit: HighRes-net )

Papers

Showing 110 of 34 papers

TitleStatusHype
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-ResolutionCode2
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Simple Base Frame Guided Residual Network for RAW Burst Image Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With TransformersCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Permutation invariance and uncertainty in multitemporal image super-resolutionCode1
Deep Burst Super-ResolutionCode1
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural NetworksCode1
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