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Recent methods for audio-driven talking head synthesis often optimize neural radiance fields (NeRF) on a monocular talking portrait video, leveraging its capability to render high-fidelity and 3D-consistent novel-view frames. However, they…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 Jaehoon Ko , Kyusun Cho , Joungbin Lee , Heeji Yoon , Sangmin Lee , Sangjun Ahn , Seungryong Kim

Researchers have shown a growing interest in Audio-driven Talking Head Generation. The primary challenge in talking head generation is achieving audio-visual coherence between the lips and the audio, known as lip synchronization. This paper…

Sound · Computer Science 2026-02-03 Zhipeng Chen , Xinheng Wang , Lun Xie , Haijie Yuan , Hang Pan

The goal of this paper is to synthesise talking faces with controllable facial motions. To achieve this goal, we propose two key ideas. The first is to establish a canonical space where every face has the same motion patterns but different…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Youngjoon Jang , Kyeongha Rho , Jong-Bin Woo , Hyeongkeun Lee , Jihwan Park , Youshin Lim , Byeong-Yeol Kim , Joon Son Chung

Different people have different facial expressions while speaking emotionally. A realistic facial animation system should consider such identity-specific speaking styles and facial idiosyncrasies to achieve high-degree of naturalness and…

Artificial Intelligence · Computer Science 2023-10-27 Elif Bozkurt

Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to input speech in other languages, possibly due to the lack…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Kim Sung-Bin , Lee Chae-Yeon , Gihun Son , Oh Hyun-Bin , Janghoon Ju , Suekyeong Nam , Tae-Hyun Oh

The ability to envisage the visual of a talking face based just on hearing a voice is a unique human capability. There have been a number of works that have solved for this ability recently. We differ from these approaches by enabling a…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Ravindra Yadav , Ashish Sardana , Vinay P Namboodiri , Rajesh M Hegde

Several works have developed end-to-end pipelines for generating lip-synced talking faces with various real-world applications, such as teaching and language translation in videos. However, these prior works fail to create realistic-looking…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Sahil Goyal , Shagun Uppal , Sarthak Bhagat , Yi Yu , Yifang Yin , Rajiv Ratn Shah

The domain of 3D talking head generation has witnessed significant progress in recent years. A notable challenge in this field consists in blending speech-related motions with expression dynamics, which is primarily caused by the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Federico Nocentini , Claudio Ferrari , Stefano Berretti

Audio-driven 3D facial animation has several virtual humans applications for content creation and editing. While several existing methods provide solutions for speech-driven animation, precise control over content (what) and style (how) of…

Sound · Computer Science 2024-08-15 Qingju Liu , Hyeongwoo Kim , Gaurav Bharaj

The task of audio-driven portrait animation involves generating a talking head video using an identity image and an audio track of speech. While many existing approaches focus on lip synchronization and video quality, few tackle the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Jian Zhang , Weijian Mai , Zhijun Zhang

Speech-driven facial animation is the process that automatically synthesizes talking characters based on speech signals. The majority of work in this domain creates a mapping from audio features to visual features. This approach often…

Computer Vision and Pattern Recognition · Computer Science 2019-06-18 Konstantinos Vougioukas , Stavros Petridis , Maja Pantic

In this paper, we introduce a simple and novel framework for one-shot audio-driven talking head generation. Unlike prior works that require additional driving sources for controlled synthesis in a deterministic manner, we instead…

Graphics · Computer Science 2022-12-09 Zhentao Yu , Zixin Yin , Deyu Zhou , Duomin Wang , Finn Wong , Baoyuan Wang

Speech-driven 3D talking face method should offer both accurate lip synchronization and controllable expressions. Previous methods solely adopt discrete emotion labels to globally control expressions throughout sequences while limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Hejia Chen , Haoxian Zhang , Shoulong Zhang , Xiaoqiang Liu , Sisi Zhuang , Yuan Zhang , Pengfei Wan , Di Zhang , Shuai Li

Generating and editing a 3D scene guided by natural language poses a challenge, primarily due to the complexity of specifying the positional relations and volumetric changes within the 3D space. Recent advancements in Large Language Models…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Yiqi Lin , Hao Wu , Ruichen Wang , Haonan Lu , Xiaodong Lin , Hui Xiong , Lin Wang

We introduce VASA, a framework for generating lifelike talking faces with appealing visual affective skills (VAS) given a single static image and a speech audio clip. Our premiere model, VASA-1, is capable of not only generating lip…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Sicheng Xu , Guojun Chen , Yu-Xiao Guo , Jiaolong Yang , Chong Li , Zhenyu Zang , Yizhong Zhang , Xin Tong , Baining Guo

Talking face generation with great practical significance has attracted more attention in recent audio-visual studies. How to achieve accurate lip synchronization is a long-standing challenge to be further investigated. Motivated by xxx, in…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Ganglai Wang , Peng Zhang , Lei Xie , Wei Huang , Yufei Zha

We present a framework for modeling interactional communication in dyadic conversations: given multimodal inputs of a speaker, we autoregressively output multiple possibilities of corresponding listener motion. We combine the motion and…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Evonne Ng , Hanbyul Joo , Liwen Hu , Hao Li , Trevor Darrell , Angjoo Kanazawa , Shiry Ginosar

We propose a novel 3D-aware diffusion-based method for generating photorealistic talking head videos directly from a single identity image and explicit control signals (e.g., expressions). Our method generates Multiplane Images (MPIs) that…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Yuan Li , Ziqian Bai , Feitong Tan , Zhaopeng Cui , Sean Fanello , Yinda Zhang

Joint audio-video generation models have shown that unified generation yields stronger cross-modal coherence than cascaded approaches. However, existing models couple modalities throughout denoising via pervasive attention, treating…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Zhen Ye , Xu Tan , Aoxiong Yin , Hongzhan Lin , Guangyan Zhang , Peiwen Sun , Yiming Li , Chi-Min Chan , Wei Ye , Shikun Zhang , Wei Xue

This paper focuses on the task of speech-driven 3D facial animation, which aims to generate realistic and synchronized facial motions driven by speech inputs. Recent methods have employed audio-conditioned diffusion models for 3D facial…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Yifan Yang , Zhi Cen , Sida Peng , Xiangwei Chen , Yifu Deng , Xinyu Zhu , Fan Jia , Xiaowei Zhou , Hujun Bao
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