Awesome Deepfakes: Curated Index of Research Papers and Tools to 2021

Daisy-Zhang curated this repository of deepfake-related resources, including datasets, tools, and research papers, with the last update recorded in December 2021. It functions as a centralized index for synthetic media research, organizing links to external benchmarks and source code.

Use Cases

• Locating benchmark datasets within the 'Datasets' section for training detection algorithms
• Finding implementation code via the 'Paper with Code' links for reproducibility studies
• Reviewing academic literature organized by the 'Detection' category to identify state-of-the-art methods

Strengths

• Links academic papers directly to their corresponding code repositories
• Categorizes resources into specific media types such as image and video
• Released under the MIT license for open redistribution

Limitations

• Temporal staleness as the repository has not been updated since December 2021
• Does not host raw data files, serving only as a directory of external links
• Lack of structured metadata prevents automated filtering or programmatic access

Provenance

Source

Daisy-Zhang on GitHub

Collection Method

Manual curation

Freshness

Not updated since December 2021.

Geography

Global