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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
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area SurveillanceCode0
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale WarpingCode0
Image Super-Resolution by Neural Texture TransferCode0
Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation—0
Reference-Conditioned Super-Resolution by Neural Texture Transfer—0
Task Decoupled Framework for Reference-Based Super-Resolution—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
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