Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
On the map: Diffusion models → Audio, speech and music
Abstract (arXiv)
Recent advances in conditional diffusion models have shown promise for generating realistic TalkingFace videos, yet challenges persist in achieving consistent head movement, synchronized facial expressions, and accurate lip synchronization over extended generations. To address these, we introduce the Motion-priors Conditional Diffusion Model (MCDM), which utilizes both archived and current clip motion priors to enhance motion prediction and ensure temporal consistency. The model consists of three key elements: (1) an archived-clip motion-prior that incorporates historical frames and a reference frame to preserve identity and context; (2) a present-clip motion-prior diffusion model that captures multimodal causality for accurate predictions of head movements, lip sync, and expressions; and (3) a memory-efficient temporal attention mechanism that mitigates error accumulation by dynamically storing and updating motion features. We also release the TalkingFace-Wild dataset, a multilingual collection of over 200 hours of footage across 10 languages. Experimental results demonstrate the effectiveness of MCDM in maintaining identity and motion continuity for long-term TalkingFace generation. Code, models, and datasets will be publicly available.
Key facts. Cited by 49 papers in the map (data through 14 Oct 2026). Placed in Audio, speech and music, one of 14 directions in Diffusion models. Builds on 17 of its 54 references that are in the map. First posted on arXiv 13 Feb 2025.
Builds on
17 of 54 references.
Closest ancestors · 3
Same direction, newest first
- 2024Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency4 Sep
- 2024MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer27 Aug
- 2024EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions27 Feb
Other references · 14
- 2014Conditional Generative Adversarial Netscited by 2,162
- 2020Rethinking Attention with Performerscited by 1,601
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- 2024EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditionscited by 196
- 2024AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animationcited by 194
- 2024Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animationcited by 174
- 2021Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motioncited by 149
- 2023GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesiscited by 131
- 2024Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesiscited by 97
- 2021Sample and Computation Redistribution for Efficient Face Detectioncited by 89
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Citing papers per year: 2025: 31; 2026: 18.
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