This repository serves as a curated collection of papers and code for talking head generation, a field focused on creating realistic and animated human faces driven by audio and other inputs. It targets researchers and developers in computer vision and graphics, offering a comprehensive overview of the state-of-the-art and a valuable resource for exploring new techniques.

How It Works

The collection spans various approaches to talking head generation, including GAN-based methods, diffusion models, and 3D-aware techniques like NeRF. These methods leverage audio signals, facial landmarks, and motion representations to synthesize realistic facial movements, lip synchronization, and even emotional expressions. The advantage of this diverse collection lies in its breadth, allowing users to compare and contrast different architectural choices and algorithmic innovations.

Quick Start & Requirements

This is a curated list of research papers and code repositories, not a single executable project. To use any of the included code, users must refer to the individual project's README for specific installation and execution instructions. Dependencies will vary widely but commonly include Python, PyTorch or TensorFlow, and potentially specialized hardware like GPUs with CUDA support.

Highlighted Details

• Comprehensive listing of papers from 2016 to 2025, covering major conferences (CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH).
• Includes code implementations for many seminal and recent works, facilitating reproducibility and experimentation.
• Categorizes research by approach (e.g., Audio-driven, Nerf & 3D) and year, enabling targeted exploration.
• Provides links to datasets (VoxCeleb, Faceforensics++) crucial for training and evaluating models.

Maintenance & Community

The repository is maintained by harlanhong, with an invitation for community contributions via issues and pull requests. A Discord server is available for direct communication and collaboration. The maintainer is actively seeking job or postdoctoral positions.

Licensing & Compatibility

The licensing of individual code repositories within this collection will vary. Users must consult the license of each specific project they intend to use. Compatibility for commercial use or closed-source linking depends entirely on the licenses of the individual codebases.

Limitations & Caveats

This is a meta-repository and does not provide a unified API or a single installable package. Users must navigate and manage dependencies for each individual project. The rapid evolution of the field means some older methods may be superseded by newer, more performant techniques.