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Reference-based Super-Resolution
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Reference-based Super-Resolution aims to recover high-resolution images by utilizing external reference images containing similar content to generate rich textures.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ZZUTK/SRNTT
공식 코드https://github.com/bia006/hitsr
공식 코드HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution
https://github.com/boelukas/mariner
공식 코드MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
https://github.com/caojiezhang/datsr
공식 코드Reference-based Image Super-Resolution with Deformable Attention Transformer
https://github.com/cszhilu1998/selfdzsr
공식 코드Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
https://github.com/cszhilu1998/selfdzsr_plusplus
공식 코드Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
https://github.com/dongrunmin/refdiff
공식 코드https://github.com/wdmwhh/MRefSR
공식 코드LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
https://github.com/yi-yang355/frfsr
공식 코드A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
https://github.com/yumingj/C2-Matching
공식 코드https://github.com/zj-binxia/amsa
공식 코드https://github.com/MindSpore-scientific-2/code-10/tree/main/Super-Resolution-for-Root-Imaging
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
https://github.com/S-aiueo32/srntt-pytorch
https://github.com/htzheng/ECCV2018_CrossNet_RefSR
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping
https://github.com/tengfei-wang/dcsr
https://github.com/umutsuluhan/HSTRNet-Interp
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area Surveillance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.