Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 57× · AI/ML
Press Enter · cited answer in seconds

Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging

Summary

Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging is a scholarly article[1].

Key Facts

  • Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/residual-degradation-learning-unfolding-framework-with-mixing-priors-across-spectral-and-spatial-for-compressive-spectra
MLA “Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/residual-degradation-learning-unfolding-framework-with-mixing-priors-across-spectral-and-spatial-for-compressive-spectra.
BibTeX @misc{4ortxyz_residual-degradation-learning-unfolding-framework-with-mixing-priors-across-spectral-and-spatial-for-compressive-spectra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging}}, year = {2026}, url = {https://4ort.xyz/entity/residual-degradation-learning-unfolding-framework-with-mixing-priors-across-spectral-and-spatial-for-compressive-spectra}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Residual Degradation Learning Unfolding Framework with Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging — https://4ort.xyz/entity/residual-degradation-learning-unfolding-framework-with-mixing-priors-across-spectral-and-spatial-for-compressive-spectra (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/residual-degradation-learning-unfolding-framework-with-mixing-priors-across-spectral-and-spatial-for-compressive-spectra · Last refreshed: