Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control
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Abstract (arXiv)
We present Free-HeadGAN, a person-generic neural talking head synthesis system. We show that modeling faces with sparse 3D facial landmarks are sufficient for achieving state-of-the-art generative performance, without relying on strong statistical priors of the face, such as 3D Morphable Models. Apart from 3D pose and facial expressions, our method is capable of fully transferring the eye gaze, from a driving actor to a source identity. Our complete pipeline consists of three components: a canonical 3D key-point estimator that regresses 3D pose and expression-related deformations, a gaze estimation network and a generator that is built upon the architecture of HeadGAN. We further experiment with an extension of our generator to accommodate few-shot learning using an attention mechanism, in case more than one source images are available. Compared to the latest models for reenactment and motion transfer, our system achieves higher photo-realism combined with superior identity preservation, while offering explicit gaze control.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 56 of its 80 references that are in the map. First posted on arXiv 3 Aug 2022.
Builds on
56 of 80 references.
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50 most cited of 56 All 56 (JSON)
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Citing papers per year: 2023: 5; 2024: 2; 2025: 2; 2026: 1.
10 papers.
- 2023Identity-Preserving Talking Face Generation with Landmark and Appearance Priorscited by 98
- 2023Efficient Emotional Adaptation for Audio-Driven Talking-Head Generationcited by 81
- 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 67
- 2023Interactive Conversational Head Generationcited by 14
- 2024A Comprehensive Taxonomy and Analysis of Talking Head Synthesis: Techniques for Portrait Generation, Driving Mechanisms, and Editingcited by 5
- 2023One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2cited by 3
- 2023FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exitscited by 3
- 2026FG-Portrait: 3D Flow Guided Editable Portrait Animationcited by 1
- 2025STSA: Spatial-Temporal Semantic Alignment for Visual Dubbingcited by 0
- 2025JOLT3D: Joint Learning of Talking Heads and 3DMM Parameters with Application to Lip-Synccited by 0
- 2026FG-Portrait: 3D Flow Guided Editable Portrait Animation24 Mar 2026
- 2025JOLT3D: Joint Learning of Talking Heads and 3DMM Parameters with Application to Lip-Sync28 Jul 2025
- 2025STSA: Spatial-Temporal Semantic Alignment for Visual Dubbing29 Mar 2025
- 2024A Comprehensive Taxonomy and Analysis of Talking Head Synthesis: Techniques for Portrait Generation, Driving Mechanisms, and Editing15 Jun 2024
- 2024Deepfake Generation and Detection: A Benchmark and Survey26 Mar 2024
- 2023Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation10 Sep 2023
- 2023Interactive Conversational Head Generation5 Jul 2023
- 2023Identity-Preserving Talking Face Generation with Landmark and Appearance Priors15 May 2023
- 2023FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits20 Apr 2023
- 2023One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN215 Feb 2023