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Top 5 Python deepfake Projects
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CVPR2022-DaGAN
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
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DEEPFAKE-AUDIO
An audio deepfake is when a “cloned” voice that is potentially indistinguishable from the real person’s is used to produce synthetic audio. (by Amey-Thakur)
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These-People-Do-Not-Exist
AI that generates human faces which have never been seen before. The future is now 😁
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WorkOS
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Project mention: refacer VS facefusion - a user suggested alternative | libhunt.com/r/refacer | 2024-01-30
Project mention: DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation | /r/BotNewsPreprints | 2023-05-11Predominant techniques on talking head generation largely depend on 2D information, including facial appearances and motions from input face images. Nevertheless, dense 3D facial geometry, such as pixel-wise depth, plays a critical role in constructing accurate 3D facial structures and suppressing complex background noises for generation. However, dense 3D annotations for facial videos is prohibitively costly to obtain. In this work, firstly, we present a novel self-supervised method for learning dense 3D facial geometry (ie, depth) from face videos, without requiring camera parameters and 3D geometry annotations in training. We further propose a strategy to learn pixel-level uncertainties to perceive more reliable rigid-motion pixels for geometry learning. Secondly, we design an effective geometry-guided facial keypoint estimation module, providing accurate keypoints for generating motion fields. Lastly, we develop a 3D-aware cross-modal (ie, appearance and depth) attention mechanism, which can be applied to each generation layer, to capture facial geometries in a coarse-to-fine manner. Extensive experiments are conducted on three challenging benchmarks (ie, VoxCeleb1, VoxCeleb2, and HDTF). The results demonstrate that our proposed framework can generate highly realistic-looking reenacted talking videos, with new state-of-the-art performances established on these benchmarks. The codes and trained models are publicly available on the GitHub project page at https://github.com/harlanhong/CVPR2022-DaGAN
Python deepfake related posts
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refacer VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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roop VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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roop-unleashed VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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sd-webui-reactor VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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sd-webui-roop VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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faceswap VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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DeepFaceLab VS facefusion - a user suggested alternative
2 projects | 30 Jan 2024
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source deepfake projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | FaceFusion | 14,204 |
2 | CVPR2022-DaGAN | 932 |
3 | DeepFake-Detection | 464 |
4 | DEEPFAKE-AUDIO | 45 |
5 | These-People-Do-Not-Exist | 15 |
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