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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
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable ConvolutionCode1
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed ObservationsCode1
Task Decoupled Framework for Reference-Based Super-Resolution—0
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation—0
Multi-Reference Image Super-Resolution: A Posterior Fusion Approach—0
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution—0
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras—0
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution—0
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