Summary

SadTalker is an AI research project that generates realistic talking head videos from a single portrait image and an audio input. It focuses on learning 3D motion coefficients for stylized audio-driven animation. The project provides code, a research paper, and online demos for its technology.

Features
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Must Have

1 of 5

Conversational AI

API Access

Safety & Alignment Framework

Fine-Tuning & Custom Models

Enterprise Solutions

Other

3 of 8

Image Generation

Multimodal AI

Research & Publications

Code Generation

Security & Red Teaming

Synthetic Media Provenance

Threat Intelligence Reporting

Global Affairs & Policy

Rationale

SadTalker is a research project focused on generating talking head videos from a single image and audio input. It explicitly mentions generating 3D motion coefficients from audio and implicitly modulating a 3D-aware face render, which aligns with multimodal AI and conversational AI aspects. The project is a research publication (CVPR 2023) and provides code and demos, indicating a focus on research and development in AI. While it doesn't offer a direct API for general AI models like OpenAI, its core functionality of generating talking faces from audio and images aligns with the multimodal and conversational AI capabilities. The 'image-generation' feature is directly supported by its ability to create animated faces from still images.