HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models-Reference-Cited by-同舟云学术

HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Wu Chanyue¹,Wang Dong¹,Bai Yunpeng²,Mao Hanyu¹,Li Ying¹,Shen Qiang²

Affiliation:

1. Northwestern Polytechnical University,Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, School of Computer Science,National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology,China

2. Aberystwyth University,Faculty of Business and Physical Sciences,Department of Computer Science,U.K.

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377416.pdf?arnumber=10377416

Reference46 articles.

1. Bayesian sparse representation for hyperspectral image super resolution

2. Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability

3. CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

4. Wavegrad: Estimating gradients for waveform generation;Chen

5. Fusion of Hyperspectral and Multispectral Images: A Novel Framework Based on Generalization of Pan-Sharpening Methods

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