EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
On the map: Diffusion models → Audio, speech and music
Abstract (arXiv)
In this work, we tackle the challenge of enhancing the realism and expressiveness in talking head video generation by focusing on the dynamic and nuanced relationship between audio cues and facial movements. We identify the limitations of traditional techniques that often fail to capture the full spectrum of human expressions and the uniqueness of individual facial styles. To address these issues, we propose EMO, a novel framework that utilizes a direct audio-to-video synthesis approach, bypassing the need for intermediate 3D models or facial landmarks. Our method ensures seamless frame transitions and consistent identity preservation throughout the video, resulting in highly expressive and lifelike animations. Experimental results demonsrate that EMO is able to produce not only convincing speaking videos but also singing videos in various styles, significantly outperforming existing state-of-the-art methodologies in terms of expressiveness and realism.
Key facts. Cited by 233 papers in the map (data through 7 Oct 2026). Placed in Audio, speech and music, one of 14 directions in Diffusion models. Builds on 34 of its 45 references that are in the map. First posted on arXiv 27 Feb 2024.
Builds on
34 of 45 references.
Closest ancestors · 3
Same direction, newest first
- 2023Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization18 Aug
- 2023DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation10 Jan
- 2023Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation6 Jan
Other references · 31
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
- 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
- 2022Scalable Diffusion Models with Transformerscited by 5,931
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
- 2023AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuningcited by 1,418
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
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- 2022Imagic: Text-Based Real Image Editing with Diffusion Modelscited by 1,172
- 2023Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animationcited by 683
- 2020A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wildcited by 669
- 2019MediaPipe: A Framework for Building Perception Pipelinescited by 572
- 2024Latte: Latent Diffusion Transformer for Video Generationcited by 536
- 2019Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Setcited by 481
- 2024Lumiere: A Space-Time Diffusion Model for Video Generationcited by 450
- 2022SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animationcited by 380
- 2023I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Modelscited by 343
- 2020MakeItTalk: Speaker-Aware Talking-Head Animationcited by 310
- 2023DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editingcited by 293
- 2022CelebV-HQ: A Large-Scale Video Facial Attributes Datasetcited by 246
- 2021FaceFormer: Speech-Driven 3D Facial Animation with Transformerscited by 208
- 2022VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolutioncited by 174
- 2023TryOnDiffusion: A Tale of Two UNetscited by 141
- 2024Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesiscited by 97
- 2023StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generatorcited by 89
- 2023VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Priorcited by 47
- 2023MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentionscited by 29
Built on by
Citing papers per year: 2024: 63; 2025: 125; 2026: 45.
233 papers.
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- 2026SyncCache: Exploiting Asymmetric Dynamics for Fast Audio-Driven Portrait Animation29 Jun 2026
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- 2024Progressive Autoregressive Video Diffusion Modelscited by 65
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- 2025Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Modelcited by 49
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