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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
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural NetworksCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Deep Burst Super-ResolutionCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Permutation invariance and uncertainty in multitemporal image super-resolutionCode1
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