MG-SpaIR: Multi-Grade Sparse-Guided Implicit Representation for Training-Data-Free Image Restoration.

Liao J, Huang L, Fang R, Prater-Bennette A, Shen L, Xu Y

DOI: 10.1007/s10851-026-01329-2
Published: 2026
Container: Journal of mathematical imaging and vision
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10851-026-01329-2,
  title = {MG-SpaIR: Multi-Grade Sparse-Guided Implicit Representation for Training-Data-Free Image Restoration.},
  author = {Liao J and Huang L and Fang R and Prater-Bennette A and Shen L and Xu Y},
  year = {2026},
  journal = {Journal of mathematical imaging and vision},
  doi = {10.1007/s10851-026-01329-2},
  url = {https://doi.org/10.1007/s10851-026-01329-2}
}

RIS

TY  - JOUR
TI  - MG-SpaIR: Multi-Grade Sparse-Guided Implicit Representation for Training-Data-Free Image Restoration.
AU  - Liao J
AU  - Huang L
AU  - Fang R
AU  - Prater-Bennette A
AU  - Shen L
AU  - Xu Y
PY  - 2026
JO  - Journal of mathematical imaging and vision
DO  - 10.1007/s10851-026-01329-2
UR  - https://doi.org/10.1007/s10851-026-01329-2
ER  -

APA

J, L., L, H., R, F., A, P., L, S., & Y, X. (2026). MG-SpaIR: Multi-Grade Sparse-Guided Implicit Representation for Training-Data-Free Image Restoration.. Journal of mathematical imaging and vision. https://doi.org/10.1007/s10851-026-01329-2

Source records

pubmed · retrieved 2026-09-25T14:47:57.228Z
europe-pmc · retrieved 2026-09-25T14:47:57.232Z