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Related papers: Audio-driven Talking Face Generation with Stabiliz…

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Video generation has achieved remarkable progress, with generated videos increasingly resembling real ones. However, the rapid advance in generation has outpaced the development of adequate evaluation metrics. Currently, the assessment of…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Nabyl Quignon , Baptiste Chopin , Yaohui Wang , Antitza Dantcheva

Recent studies in speech-driven talking face generation achieve promising results, but their reliance on fixed-driven speech limits further applications (e.g., face-voice mismatch). Thus, we extend the task to a more challenging setting:…

Sound · Computer Science 2025-07-28 Fang Kang , Yin Cao , Haoyu Chen

Different people speak with diverse personalized speaking styles. Although existing one-shot talking head methods have made significant progress in lip sync, natural facial expressions, and stable head motions, they still cannot generate…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Yifeng Ma , Suzhen Wang , Zhipeng Hu , Changjie Fan , Tangjie Lv , Yu Ding , Zhidong Deng , Xin Yu

Audio-driven 3D facial animation aims to generate synchronized lip movements and vivid facial expressions from arbitrary audio clips. While existing methods can produce synchronized lip motions, they often rely on predefined identity or…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Xuangeng Chu , Yuan Gan , Ziteng Cui , Shuhong Liu , Jian Wang , Bing Zhou , Tatsuya Harada

Talking head synthesis is a promising approach for the video production industry. Recently, a lot of effort has been devoted in this research area to improve the generation quality or enhance the model generalization. However, there are few…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Shuai Shen , Wenliang Zhao , Zibin Meng , Wanhua Li , Zheng Zhu , Jie Zhou , Jiwen Lu

Diffusion-based audio-driven talking-head generation enables realistic portrait animation, but also introduces risks of misuse, such as fraud and misinformation. Existing protection methods are largely limited to a single modality, and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Wenli Zhang , Xianglong Shi , Sirui Zhao , Xinqi Chen , Guo Cheng , Yifan Xu , Tong Xu , Yong Liao

Most earlier researches on talking face generation have focused on the synchronization of lip motion and speech content. However, head pose and facial emotions are equally important characteristics of natural faces. While audio-driven…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Changpeng Cai , Guinan Guo , Jiao Li , Junhao Su , Fei Shen , Chenghao He , Jing Xiao , Yuanxu Chen , Lei Dai , Feiyu Zhu

Speech-driven facial animation is the process which uses speech signals to automatically synthesize a talking character. The majority of work in this domain creates a mapping from audio features to visual features. This often requires…

Audio and Speech Processing · Electrical Eng. & Systems 2018-07-20 Konstantinos Vougioukas , Stavros Petridis , Maja Pantic

Talking face synthesis has been widely studied in either appearance-based or warping-based methods. Previous works mostly utilize single face image as a source, and generate novel facial animations by merging other person's facial features.…

Computer Vision and Pattern Recognition · Computer Science 2019-11-22 Kuangxiao Gu , Yuqian Zhou , Thomas Huang

Although existing speech-driven talking face generation methods achieve significant progress, they are far from real-world application due to the avatar-specific training demand and unstable lip movements. To address the above issues, we…

Computer Vision and Pattern Recognition · Computer Science 2023-12-13 Haiming Zhang , Zhihao Yuan , Chaoda Zheng , Xu Yan , Baoyuan Wang , Guanbin Li , Song Wu , Shuguang Cui , Zhen Li

In this paper, we consider a novel and practical case for talking face video generation. Specifically, we focus on the scenarios involving multi-people interactions, where the talking context, such as audience or surroundings, is present.…

Computer Vision and Pattern Recognition · Computer Science 2024-02-29 Meidai Xuanyuan , Yuwang Wang , Honglei Guo , Qionghai Dai

Talking face generation technology creates talking videos from arbitrary appearance and motion signal, with the "arbitrary" offering ease of use but also introducing challenges in practical applications. Existing methods work well with…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Chao Liang , Jianwen Jiang , Tianyun Zhong , Gaojie Lin , Zhengkun Rong , Jiaqi Yang , Yongming Zhu

Vivid talking face generation holds immense potential applications across diverse multimedia domains, such as film and game production. While existing methods accurately synchronize lip movements with input audio, they typically ignore…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Jiadong Liang , Feng Lu

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

Generating consecutive images of lip movements that align with a given speech in audio-driven lip synthesis is a challenging task. While previous studies have made strides in synchronization and visual quality, lip intelligibility and video…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Shiyan Liu , Rui Qu , Yan Jin

Lip-to-Speech (Lip2Speech) synthesis, which predicts corresponding speech from talking face images, has witnessed significant progress with various models and training strategies in a series of independent studies. However, existing studies…

Multimedia · Computer Science 2023-05-25 Zheng-Yan Sheng , Yang Ai , Zhen-Hua Ling

Audio-Visual Speech-to-Speech Translation typically prioritizes improving translation quality and naturalness. However, an equally critical aspect in audio-visual content is lip-synchrony-ensuring that the movements of the lips match the…

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

Despite numerous completed studies, achieving high fidelity talking face generation with highly synchronized lip movements corresponding to arbitrary audio remains a significant challenge in the field. The shortcomings of published studies…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Juan Zhang , Jiahao Chen , Cheng Wang , Zhiwang Yu , Tangquan Qi , Di Wu

Talking head generation is to generate video based on a given source identity and target motion. However, current methods face several challenges that limit the quality and controllability of the generated videos. First, the generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Yue Gao , Yuan Zhou , Jinglu Wang , Xiao Li , Xiang Ming , Yan Lu
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