{"url":"/task/face-transfer","name":"Face Transfer","slug":"face-transfer","description_markdown":"**Face Transfer** is a method for mapping face performances of one individual to facial animations of another one. It uses facial expressions and head poses from the video of a source actor to generate a video of a target character. Face Transfer is a special case of image-to-image translation tasks.\r\n\r\n\r\n<span class=\"description-source\">Source: [Face Transfer with Generative Adversarial Network ](https://arxiv.org/abs/1710.06090)</span>","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":8,"papers_with_code":4,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[{"url":"/dataset/vggface2-hq","name":"VGGFace2 HQ","full_name":"VGGFace2 HQ","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[{"url":"/task/style-transfer","name":"Style Transfer"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":4,"of":4,"tagged_in_all":8,"items":[{"url":"/paper/ft-shield-a-watermark-against-unauthorized","title":"FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models","date":"2023-10-03","arxiv_id":"2310.02401","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/one-shot-face-swapping-on-megapixels","title":"One Shot Face Swapping on Megapixels","date":"2021-05-11","arxiv_id":"2105.04932","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/mobileface-3d-face-reconstruction-with","title":"MobileFace: 3D Face Reconstruction with Efficient CNN Regression","date":"2018-09-24","arxiv_id":"1809.08809","repositories_listed":1,"syntology":null},{"url":"/paper/inverting-face-embeddings-with-convolutional","title":"Inverting face embeddings with convolutional neural networks","date":"2016-06-14","arxiv_id":"1606.04189","repositories_listed":1,"syntology":null}],"syntology_records":2,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}