Papers with Code 아카이브
Spectral Super-Resolution
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
From Image- to Pixel-level: Label-efficient Hyperspectral Image Reconstruction
Compensation based Dictionary Transfer for Similar Multispectral Image Spectral Super-resolution
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution
Frequency Estimation Using Complex-Valued Shifted Window Transformer
Separation-Free Spectral Super-Resolution via Convex Optimization
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution
Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN
An efficient CNN for spectral reconstruction from RGB images
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
Learned Spectral Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.