Browse State-of-the-Art › Face Swapping
Face Swapping
342 papers with code · 3 benchmarks · 10 datasets archive 2025-07-28
Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.
( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task (1 more in the archive withheld as spam; see /not-shown), 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| FaceForensics++ (17 rows) | DeepFaceLab | DeepFaceLab: Integrated, flexible and extensible face-swapping framework | code | Syntology ran 2 of 7 samples · 5 unverified | Compare |
| AFLW2000-3D (4 rows) | FaceDancer (Config A) | FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping | code | — | Compare |
| HOD (1 row) | Work | Joyful: Joint Modality Fusion and Graph Contrastive Learning for... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
10 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 342 papers with code (914 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 May 2020 22 repositories listed Syntology ran 2 of 7 samples · 5 unverifiedDeepfake defense not only requires the research of detection but also requires the efforts of generation methods.
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25 Jan 2019 14 repositories listed Syntology ran 4 of 9 samples · 5 unverified · 4 pointer-only (licence)In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.
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31 Dec 2019 10 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)We propose a novel attributes encoder for extracting multi-level target face attributes, and a new generator with carefully designed Adaptive Attentional Denormalization (AAD) layers to adaptively integrate the identity…
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12 Jun 2020 9 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)In addition to Deepfakes, a variety of GAN-based face swapping methods have also been published with accompanying code.
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27 Sep 2019 8 repositories listedAI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information.
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4 Sep 2018 8 repositories listed Syntology ran 1 of 6 samples · 5 unverifiedThis paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.
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11 Aug 2022 6 repositories listedIn this work, we investigate factors causing biased detection in public Deepfake datasets by (a) creating large-scale demographic and non-demographic attribute annotations with 47 different attributes for five popular…
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31 Dec 2019 4 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)For this reason, face X-ray provides an effective way for detecting forgery generated by most existing face manipulation algorithms.
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24 Feb 2022 3 repositories listed Syntology ran 1 of 2 samples · 1 unverifiedThe performance of spoofing countermeasure systems depends fundamentally upon the use of sufficiently representative training data.
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6 Jul 2021 3 repositories listed Syntology ran 7 of 14 samples · 7 unverifiedTraditionally, Convolutional Neural Networks (CNNs) have been used to perform video deepfake detection, with the best results obtained using methods based on EfficientNet B7.
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11 Jun 2021 3 repositories listedIn contrast to previous approaches that either lack the ability to generalize to arbitrary identity or fail to preserve attributes like facial expression and gaze direction, our framework is capable of transferring the…
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20 Apr 2021 3 repositories listed Syntology ran 4 of 11 samples · 7 unverifiedThe widespread dissemination of Deepfakes demands effective approaches that can detect perceptually convincing forged images.
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1 Jan 2020 3 repositories listedThe free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with…
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1 Nov 2018 3 repositories listedCompared to previous methods which use a large amount of real and DeepFake generated images to train CNN classifier, our method does not need DeepFake generated images as negative training examples since we target the…
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7 Jun 2018 3 repositories listedThe new developments in deep generative networks have significantly improve the quality and efficiency in generating realistically-looking fake face videos.
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6 Feb 2025 2 repositories listedIn this paper, we introduce the idea of using adversarially-generated samples of the input images that were classified as deepfakes by a detector, to form perturbation masks for inferring the importance of different…
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11 Dec 2024 2 repositories listedFace parsing refers to the semantic segmentation of human faces into key facial regions such as eyes, nose, hair, etc.
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29 Nov 2024 2 repositories listedWith the recent advancements in generative modeling, the realism of deepfake content has been increasing at a steady pace, even reaching the point where people often fail to detect manipulated media content online, thus…
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23 Nov 2024 2 repositories listed Syntology ran 3 of 20 samples · 17 unverified · 20 pointer-only (licence)In this paper, we start from a new perspective to excavate the reason behind the failure generalization in AIGI detection, named the \textit{asymmetry phenomenon}, where a naively trained detector tends to favor…
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28 Oct 2024 2 repositories listedTo enhance the sensitivity of deepfake audio features, we propose a deepfake audio detection model that incorporates an SLS (Sensitive Layer Selection) module.
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3 Oct 2024 2 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 4 pointer-only (licence)The rapid development of generative AI is a double-edged sword, which not only facilitates content creation but also makes image manipulation easier and more difficult to detect.
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3 Sep 2024 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)This work details our approach to achieving a leading system with a 1.
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14 Aug 2024 2 repositories listedAudio deepfake detection has become a pivotal task over the last couple of years, as many recent speech synthesis and voice cloning systems generate highly realistic speech samples, thus enabling their use in malicious…
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11 Jun 2024 2 repositories listedWe provide comprehensive taxonomies of detection techniques, discuss the evolution of generative methods from auto-encoders and GANs to diffusion models, and categorize these technologies by their unique attributes.
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4 Jun 2024 2 repositories listedAddressing these gaps, we introduce CtrSVDD, a large-scale, diverse collection of bonafide and deepfake singing vocals.
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7 May 2024 2 repositories listedIn the face of a new era of generative models, the detection of artificially generated content has become a matter of utmost importance.
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15 Mar 2024 2 repositories listedThe deepfake threats to society and cybersecurity have provoked significant public apprehension, driving intensified efforts within the realm of deepfake video detection.
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17 Dec 2023 2 repositories listedTo create a reliable deepfake detection system, four pre-trained Convolutional Neural Network (CNN) models: XceptionNet, InceptionResNetV2, EfficientNetV2S, and EfficientNetV2M were used.
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16 Dec 2023 2 repositories listedRecently, the proliferation of highly realistic synthetic images, facilitated through a variety of GANs and Diffusions, has significantly heightened the susceptibility to misuse.
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7 Dec 2023 2 repositories listedConsidering the complexity of the quality distribution of both real and fake faces, we propose a novel Deepfake detection framework named DeepFidelity to adaptively distinguish real and fake faces with varying image…
Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections