Awesome-Deepfake-Generation-And-Detection

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Awesome-Deepfake-Generation-and-Detection is an open-source resource that provides a comprehensive survey on deepfake generation and detection techniques. It covers various facial manipulation aspects like face swapping, reenactment, and attribute editing.

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Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Awesome-Deepfake-Generation-and-Detection?

Awesome-Deepfake-Generation-and-Detection is an open-source GitHub repository offering a detailed survey on deepfake generation and detection, specifically focusing on facial manipulation. It encompasses areas such as Face Swapping, Face Reenactment, Talking Face Generation, Face Attribute Editing, and Forgery Detection. The resource also delves into related domains like Head Swap, Face Super-resolution, Face Reconstruction, and Portrait Style Transfer. It aims to be the most comprehensive survey on these topics, providing detailed results for representative works and encouraging contributions from the research community to keep the repository updated with missing papers and new suggestions.

Best used for

Ideal for professors and researchers who need to conduct academic research on deepfake technologies, understand the current state-of-the-art in facial manipulation, and explore methods for both generating and detecting deepfakes. Especially valuable for those seeking a comprehensive overview and detailed results of representative works in the field.

Common actions

survey deepfake techniques

research facial manipulation

understand deepfake detection

explore deepfake generation

deepfakeautomated workflowopen-sourcecollaborationlow-code/no-codeworkflows"AI Agents"github copilotface swapping

Capabilities

Key features

Deepfake generation survey
Deepfake detection survey
Face swapping research
Face reenactment research
Talking face generation
Facial attribute editing
Forgery detection methods

Target Audience

professorresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What specific aspects of deepfake technology does this survey cover?

This survey focuses on facial manipulation within deepfake technology, including Face Swapping, Face Reenactment, Talking Face Generation, Face Attribute Editing, and Forgery Detection. It also touches upon related fields like Head Swap, Face Super-resolution, and Portrait Style Transfer, providing a broad overview of the domain.

Is this resource actively maintained and updated?

Yes, the creators encourage contributions from the community. Users are welcome to submit pull requests or contact the maintainers to add missing papers or suggest improvements, ensuring the repository remains a comprehensive and up-to-date resource for deepfake research.

What kind of information is provided for each research paper listed?

For each paper, the survey typically lists the publication year, venue, category (e.g., Diffusion, GANs), paper title, and often includes a link to the code if available. This structured approach helps researchers quickly find relevant information and resources.

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