{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deeperforensics-10-a-large-scale-dataset-for","title":"DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection","arxiv_id":"2001.03024","date":"2020-01-09","proceeding":"CVPR 2020 6","authors":["Liming Jiang","Ren Li","Wayne Wu","Chen Qian","Chen Change Loy"],"abstract":"We present our on-going effort of constructing a large-scale benchmark for face forgery detection. The first version of this benchmark, DeeperForensics-1.0, represents the largest face forgery detection dataset by far, with 60,000 videos constituted by a total of 17.6 million frames, 10 times larger than existing datasets of the same kind. Extensive real-world perturbations are applied to obtain a more challenging benchmark of larger scale and higher diversity. All source videos in DeeperForensics-1.0 are carefully collected, and fake videos are generated by a newly proposed end-to-end face swapping framework. The quality of generated videos outperforms those in existing datasets, validated by user studies. The benchmark features a hidden test set, which contains manipulated videos achieving high deceptive scores in human evaluations. We further contribute a comprehensive study that evaluates five representative detection baselines and make a thorough analysis of different settings.","url_abs":"https://arxiv.org/abs/2001.03024v2","url_pdf":"https://arxiv.org/pdf/2001.03024v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deeperforensics-10-a-large-scale-dataset-for","repo_url":"https://github.com/EndlessSora/DeeperForensics-1.0","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"face-swapping","task_name":"Face Swapping"},{"task_slug":"video-forensics","task_name":"Video Forensics"}],"methods":[{"method_slug":"test","method_name":"Test"}],"datasets_introduced":[{"slug":"deeperforensics-1-0","name":"DeeperForensics-1.0","full_name":"DeeperForensics-1.0"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2001.03024","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.03024"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/EndlessSora/DeeperForensics-1.0","reach":null}],"summary":{"ran_honours":1},"by_repo_kind":{"official":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":1,"samples":[{"code_sha256_prefix":"f1a8ce4f5a3d4c97","entry":"get_distortion_parameter","repo":"EndlessSora/DeeperForensics-1.0","repo_kind":"official","path":"perturbation/add_distortion_to_video.py","file_url":"https://github.com/EndlessSora/DeeperForensics-1.0/blob/HEAD/perturbation/add_distortion_to_video.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"f1a8ce4f5a3d4c97"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}