Awesome-super-resolution is a curated collection of super-resolution papers, datasets, and repositories.
The project addresses the need for a centralized reference point in the super-resolution field by aggregating research papers, publicly available datasets, and related open-source repositories. Rather than implementing algorithms itself, the tool serves as a discovery and navigation resource, helping researchers and practitioners locate relevant work, training data, and existing implementations across the landscape of super-resolution techniques.
This collection suits researchers entering the super-resolution domain who need to understand the state of the field, practitioners seeking benchmark datasets for evaluation, and developers looking for existing implementations to build upon. It functions as a reference guide rather than a framework or library, making it most valuable during the research and planning phases of a project rather than during implementation.
The project maintains a straightforward structure focused on curation and organization. Updates appear to follow a pattern of periodic additions to the collection as new papers and resources emerge in the field.
