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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 1–26 of 26 papers

TitleStatusHype
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby ReferencesCode1
Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed ObservationsCode2
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras—0
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation—0
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-ResolutionCode1
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
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation—0
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution—0
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable ConvolutionCode1
Image Super-Resolution by Neural Texture TransferCode0
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale WarpingCode0
Reference-Conditioned Super-Resolution by Neural Texture Transfer—0
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