Deep image restoration in adverse weather: A survey.
A comprehensive survey is presented that jointly organizes single-task and AiO restoration models from the perspectives of network architectures and learning paradigms and summarizes benchmark results of representative methods on public datasets to analyze their performance and generalization ability.