Observed Signal · Aug 14, 2024 · Technical Release · Source: Trending Topics · Impact: 2/5 · Sentiment: Neutral
Deep-Live-Cam Deepfake Tool Creates Real-Time Digital Doppelgangers
The open-source project Deep-Live-Cam has gone viral for enabling real-time face swapping in live video using just a single photo. The tool extracts a face from a source image and transfers it onto a live webcam feed, tracking pose, lighting, and facial expressions in real time. The underlying face-swap model is called 'inswapper', developed by the InsightFace project, a 2D/3D face analysis library. A second model, GFPGAN, is used to improve the quality of swapped faces by correcting artifacts. The software is free to download and supports multiple execution platforms, including CPU, NVIDIA CUDA, Apple Silicon (CoreML), DirectML, and OpenVINO. It quickly reached the top of GitHub's trending repositories. The article highlights the risk of realistic fake videos and suggests code words as a verification measure.
The viral open-source deepfake tool demonstrates the rapid commoditization of real-time face-swapping AI, raising material concerns for content authentication, brand safety, and fraud prevention in digital media and advertising.
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Key Takeaways & Evidence Grounding
- Deep-Live-Cam is an open-source tool enabling real-time face swapping in live video from a single photo.
- The underlying face-swap AI model is called 'inswapper', developed by the InsightFace project.
- A second model, GFPGAN, enhances the quality and corrects artifacts in swapped faces.
- The project reached #1 on GitHub's trending repositories shortly after going viral.
- The software supports CPU, NVIDIA CUDA, Apple Silicon (CoreML), DirectML (Windows), and OpenVINO (Intel).
Connected Companies & Entities
3 Entities mapped“It supports various execution platforms, including CPU, NVIDIA CUDA, Apple Silicon (CoreML), DirectML (Windows), and OpenVINO (Intel)....”
“It supports various execution platforms, including CPU, NVIDIA CUDA, Apple Silicon (CoreML), DirectML (Windows), and OpenVINO (Intel)....”
“It supports various execution platforms, including CPU, NVIDIA CUDA, Apple Silicon (CoreML), DirectML (Windows), and OpenVINO (Intel)....”
Ontology Mapping & Concepts
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