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Reference-based Super-Resolution

Reference-based Super-Resolution aims to recover high-resolution images by utilizing external reference images containing similar content to generate rich textures.

Papers

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Showing 11–20 of 26 papers

TitleStatusHype
Multi-Reference Image Super-Resolution: A Posterior Fusion Approach—0
Reference-based Image and Video Super-Resolution via C2-MatchingCode2
Reference-based Image Super-Resolution with Deformable Attention TransformerCode1
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area SurveillanceCode0
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed ObservationsCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
Task Decoupled Framework for Reference-Based Super-Resolution—0
Dual-Camera Super-Resolution with Aligned Attention ModulesCode1
Robust Reference-based Super-Resolution via C2-MatchingCode1
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution—0
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