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Talking head synthesis is a practical technique with wide applications. Current Neural Radiance Field (NeRF) based approaches have shown their superiority on driving one-shot talking heads with videos or signals regressed from audio.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Dongze Li , Kang Zhao , Wei Wang , Yifeng Ma , Bo Peng , Yingya Zhang , Jing Dong

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 talking person portraits with arbitrary speech audio is a crucial problem in the field of digital human and metaverse. A modern talking face generation method is expected to achieve the goals of generalized audio-lip…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Zhenhui Ye , Jinzheng He , Ziyue Jiang , Rongjie Huang , Jiawei Huang , Jinglin Liu , Yi Ren , Xiang Yin , Zejun Ma , Zhou Zhao

Talking head synthesis is to synthesize a lip-synchronized talking head video using audio. Recently, the capability of NeRF to enhance the realism and texture details of synthesized talking heads has attracted the attention of researchers.…

Graphics · Computer Science 2025-02-21 Xiaoxing Liu , Zhilei Liu , Chongke Bi

Audio-driven talking head synthesis is a promising topic with wide applications in digital human, film making and virtual reality. Recent NeRF-based approaches have shown superiority in quality and fidelity compared to previous studies.…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Dongze Li , Kang Zhao , Wei Wang , Bo Peng , Yingya Zhang , Jing Dong , Tieniu Tan

Generating photo-realistic video portrait with arbitrary speech audio is a crucial problem in film-making and virtual reality. Recently, several works explore the usage of neural radiance field in this task to improve 3D realness and image…

Computer Vision and Pattern Recognition · Computer Science 2023-02-01 Zhenhui Ye , Ziyue Jiang , Yi Ren , Jinglin Liu , JinZheng He , Zhou Zhao

While dynamic Neural Radiance Fields (NeRF) have shown success in high-fidelity 3D modeling of talking portraits, the slow training and inference speed severely obstruct their potential usage. In this paper, we propose an efficient…

Computer Vision and Pattern Recognition · Computer Science 2022-11-23 Jiaxiang Tang , Kaisiyuan Wang , Hang Zhou , Xiaokang Chen , Dongliang He , Tianshu Hu , Jingtuo Liu , Gang Zeng , Jingdong Wang

Generating high-fidelity talking head video by fitting with the input audio sequence is a challenging problem that receives considerable attentions recently. In this paper, we address this problem with the aid of neural scene representation…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Yudong Guo , Keyu Chen , Sen Liang , Yong-Jin Liu , Hujun Bao , Juyong Zhang

Talking head synthesis is an emerging technology with wide applications in film dubbing, virtual avatars and online education. Recent NeRF-based methods generate more natural talking videos, as they better capture the 3D structural…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Shuai Shen , Wanhua Li , Zheng Zhu , Yueqi Duan , Jie Zhou , Jiwen Lu

Talking head generation aims to generate faces that maintain the identity information of the source image and imitate the motion of the driving image. Most pioneering methods rely primarily on 2D representations and thus will inevitably…

Computer Vision and Pattern Recognition · Computer Science 2023-04-12 Weichuang Li , Longhao Zhang , Dong Wang , Bin Zhao , Zhigang Wang , Mulin Chen , Bang Zhang , Zhongjian Wang , Liefeng Bo , Xuelong Li

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

Talking face synthesis driven by audio is one of the current research hotspots in the fields of multidimensional signal processing and multimedia. Neural Radiance Field (NeRF) has recently been brought to this research field in order to…

Computer Vision and Pattern Recognition · Computer Science 2024-05-17 Chongke Bi , Xiaoxing Liu , Zhilei Liu

Talking head generation based on the neural radiation fields model has shown promising visual effects. However, the slow rendering speed of NeRF seriously limits its application, due to the burdensome calculation process over hundreds of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Niu Guanchen

The talking head generation recently attracted considerable attention due to its widespread application prospects, especially for digital avatars and 3D animation design. Inspired by this practical demand, several works explored Neural…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Tianyong Wang , Xiangyu Liang , Wangguandong Zheng , Dan Niu , Haifeng Xia , Siyu Xia

While recent advances in deep neural networks have made it possible to render high-quality images, generating photo-realistic and personalized talking head remains challenging. With given audio, the key to tackling this task is…

Computer Vision and Pattern Recognition · Computer Science 2022-01-04 Shunyu Yao , RuiZhe Zhong , Yichao Yan , Guangtao Zhai , Xiaokang 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

We introduce a novel method for joint expression and audio-guided talking face generation. Recent approaches either struggle to preserve the speaker identity or fail to produce faithful facial expressions. To address these challenges, we…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Sai Tanmay Reddy Chakkera , Aggelina Chatziagapi , Dimitris Samaras

Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, textual and vocal conversation generation has achieved a significant breakthrough. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Yichao Yan , Zanwei Zhou , Zi Wang , Jingnan Gao , Xiaokang Yang

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

Recent works on audio-driven talking head synthesis using Neural Radiance Fields (NeRF) have achieved impressive results. However, due to inadequate pose and expression control caused by NeRF implicit representation, these methods still…

Computer Vision and Pattern Recognition · Computer Science 2024-08-12 Hongyun Yu , Zhan Qu , Qihang Yu , Jianchuan Chen , Zhonghua Jiang , Zhiwen Chen , Shengyu Zhang , Jimin Xu , Fei Wu , Chengfei Lv , Gang Yu
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