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All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model

Research article (IEEE Transactions on Multimedia, 2025) · cited 85× · AI/ML
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All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model

Summary

All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model is a scholarly article[1].

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  • All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/all-in-one-weather-degraded-image-restoration-via-adaptive-degradation-aware-self-prompting-model
MLA “All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/all-in-one-weather-degraded-image-restoration-via-adaptive-degradation-aware-self-prompting-model.
BibTeX @misc{4ortxyz_all-in-one-weather-degraded-image-restoration-via-adaptive-degradation-aware-self-prompting-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model}}, year = {2026}, url = {https://4ort.xyz/entity/all-in-one-weather-degraded-image-restoration-via-adaptive-degradation-aware-self-prompting-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model — https://4ort.xyz/entity/all-in-one-weather-degraded-image-restoration-via-adaptive-degradation-aware-self-prompting-model (retrieved 2026-05-24)

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