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We propose a neural talking-head video synthesis model and demonstrate its application to video conferencing. Our model learns to synthesize a talking-head video using a source image containing the target person's appearance and a driving…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Ting-Chun Wang , Arun Mallya , Ming-Yu Liu

The one-shot talking-head generation learns to synthesize a talking-head video with one source portrait image under the driving of same or different identity video. Usually these methods require plane-based pixel transformations via Jacobin…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Luchuan Song , Pinxin Liu , Guojun Yin , Chenliang Xu

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

We present a novel one-shot talking head synthesis method that achieves disentangled and fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression. We represent different motions via disentangled latent…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Duomin Wang , Yu Deng , Zixin Yin , Heung-Yeung Shum , Baoyuan Wang

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

Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pose. In this paper, we address this problem by proposing a…

Computer Vision and Pattern Recognition · Computer Science 2020-03-06 Ran Yi , Zipeng Ye , Juyong Zhang , Hujun Bao , Yong-Jin Liu

The objective of face animation is to generate dynamic and expressive talking head videos from a single reference face, utilizing driving conditions derived from either video or audio inputs. Current approaches often require fine-tuning for…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 He Feng , Donglin Di , Yongjia Ma , Wei Chen , Tonghua Su

Audio-driven talking head generation is advancing from 2D to 3D content. Notably, Neural Radiance Field (NeRF) is in the spotlight as a means to synthesize high-quality 3D talking head outputs. Unfortunately, this NeRF-based approach…

Computer Vision and Pattern Recognition · Computer Science 2024-05-13 Gihoon Kim , Kwanggyoon Seo , Sihun Cha , Junyong Noh

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

One-shot talking head video generation uses a source image and driving video to create a synthetic video where the source person's facial movements imitate those of the driving video. However, differences in scale between the source and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Fa-Ting Hong , Dan Xu

One-shot talking head generation produces lip-sync talking heads based on arbitrary audio and one source face. To guarantee the naturalness and realness, recent methods propose to achieve free pose control instead of simply editing mouth…

Computer Vision and Pattern Recognition · Computer Science 2023-02-17 Jin Liu , Xi Wang , Xiaomeng Fu , Yesheng Chai , Cai Yu , Jiao Dai , Jizhong Han

We propose an audio-driven talking-head method to generate photo-realistic talking-head videos from a single reference image. In this work, we tackle two key challenges: (i) producing natural head motions that match speech prosody, and (ii)…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Suzhen Wang , Lincheng Li , Yu Ding , Changjie Fan , Xin Yu

While accurate lip synchronization has been achieved for arbitrary-subject audio-driven talking face generation, the problem of how to efficiently drive the head pose remains. Previous methods rely on pre-estimated structural information…

Computer Vision and Pattern Recognition · Computer Science 2021-04-23 Hang Zhou , Yasheng Sun , Wayne Wu , Chen Change Loy , Xiaogang Wang , Ziwei Liu

Audio driven talking head synthesis is a challenging task that attracts increasing attention in recent years. Although existing methods based on 2D landmarks or 3D face models can synthesize accurate lip synchronization and rhythmic head…

Computer Vision and Pattern Recognition · Computer Science 2022-10-10 Yichen Han , Ya Li , Yingming Gao , Jinlong Xue , Songpo Wang , Lei Yang

One-shot 3D talking portrait generation aims to reconstruct a 3D avatar from an unseen image, and then animate it with a reference video or audio to generate a talking portrait video. The existing methods fail to simultaneously achieve the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Zhenhui Ye , Tianyun Zhong , Yi Ren , Jiaqi Yang , Weichuang Li , Jiawei Huang , Ziyue Jiang , Jinzheng He , Rongjie Huang , Jinglin Liu , Chen Zhang , Xiang Yin , Zejun Ma , Zhou Zhao

Individuals have unique facial expression and head pose styles that reflect their personalized speaking styles. Existing one-shot talking head methods cannot capture such personalized characteristics and therefore fail to produce diverse…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Suzhen Wang , Yifeng Ma , Yu Ding , Zhipeng Hu , Changjie Fan , Tangjie Lv , Zhidong Deng , Xin Yu

One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging quality factor is the resolution of the output video: higher…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Fei Yin , Yong Zhang , Xiaodong Cun , Mingdeng Cao , Yanbo Fan , Xuan Wang , Qingyan Bai , Baoyuan Wu , Jue Wang , Yujiu Yang

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

One-shot talking head generation has received growing attention in recent years, with various creative and practical applications. An ideal natural and vivid generated talking head video should contain natural head pose changes. However, it…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Jin Liu , Xi Wang , Xiaomeng Fu , Yesheng Chai , Cai Yu , Jiao Dai , Jizhong Han

Talking head synthesis, an advanced method for generating portrait videos from a still image driven by specific content, has garnered widespread attention in virtual reality, augmented reality and game production. Recently, significant…

Computer Vision and Pattern Recognition · Computer Science 2024-06-19 Ming Meng , Yufei Zhao , Bo Zhang , Yonggui Zhu , Weimin Shi , Maxwell Wen , Zhaoxin Fan
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