One-Shot Pose-Driving Face Animation Platform
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Abstract (arXiv)
The objective of face animation is to generate dynamic and expressive talking head videos from a single reference face, utilizing driving conditions derived from either video or audio inputs. Current approaches often require fine-tuning for specific identities and frequently fail to produce expressive videos due to the limited effectiveness of Wav2Pose modules. To facilitate the generation of one-shot and more consecutive talking head videos, we refine an existing Image2Video model by integrating a Face Locator and Motion Frame mechanism. We subsequently optimize the model using extensive human face video datasets, significantly enhancing its ability to produce high-quality and expressive talking head videos. Additionally, we develop a demo platform using the Gradio framework, which streamlines the process, enabling users to quickly create customized talking head videos.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 15 references that are in the map. First posted on arXiv 12 Jul 2024.
Builds on
11 of 15 references.
References · 11
- 2020A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wildcited by 669
- 2022SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animationcited by 380
- 2022CelebV-HQ: A Large-Scale Video Facial Attributes Datasetcited by 246
- 2024AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animationcited by 191
- 2023DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animationcited by 136
- 2022MegaPortraits: One-shot Megapixel Neural Head Avatarscited by 131
- 2024Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesiscited by 97
- 2023Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generationcited by 61
- 2023GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generationcited by 42
- 2023DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generationcited by 20
- 2022Cross-identity Video Motion Retargeting with Joint Transformation and Synthesiscited by 10
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Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.