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Related papers: Free-HeadGAN: Neural Talking Head Synthesis with E…

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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

Recent advances in 3D-aware GAN models have enabled the generation of realistic and controllable human body images. However, existing methods focus on the control of major body joints, neglecting the manipulation of expressive attributes,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-23 Zhongcong Xu , Jianfeng Zhang , Jun Hao Liew , Jiashi Feng , Mike Zheng Shou

Recent advancements in deep learning and computer vision have led to a surge of interest in generating realistic talking heads. This paper presents a comprehensive survey of state-of-the-art methods for talking head generation. We…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Shreyank N Gowda , Dheeraj Pandey , Shashank Narayana Gowda

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 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

The generation of stylistic 3D facial animations driven by speech presents a significant challenge as it requires learning a many-to-many mapping between speech, style, and the corresponding natural facial motion. However, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Zhiyao Sun , Tian Lv , Sheng Ye , Matthieu Lin , Jenny Sheng , Yu-Hui Wen , Minjing Yu , Yong-Jin Liu

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

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre

Significant progress has been made in talking-face video generation research; however, precise lip-audio synchronization and high visual quality remain challenging in editing lip shapes based on input audio. This paper introduces JoyGen, a…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Qili Wang , Dajiang Wu , Zihang Xu , Junshi Huang , Jun Lv

We address the challenging problem of generating facial attributes using a single image in an unconstrained pose. In contrast to prior works that largely consider generation on 2D near-frontal images, we propose a GAN-based framework to…

Computer Vision and Pattern Recognition · Computer Science 2019-07-25 Feng-Ju Chang , Xiang Yu , Ram Nevatia , Manmohan Chandraker

Generating 3D speech-driven talking head has received more and more attention in recent years. Recent approaches mainly have following limitations: 1) most speaker-independent methods need handcrafted features that are time-consuming to…

Audio and Speech Processing · Electrical Eng. & Systems 2020-06-23 Huirong Huang , Zhiyong Wu , Shiyin Kang , Dongyang Dai , Jia Jia , Tianxiao Fu , Deyi Tuo , Guangzhi Lei , Peng Liu , Dan Su , Dong Yu , Helen Meng

Despite the significant progress in recent years, very few of the AI-based talking face generation methods attempt to render natural emotions. Moreover, the scope of the methods is majorly limited to the characteristics of the training…

Computer Vision and Pattern Recognition · Computer Science 2022-05-04 Sanjana Sinha , Sandika Biswas , Ravindra Yadav , Brojeshwar Bhowmick

Speech-driven 3D facial animation has gained significant attention for its ability to create realistic and expressive facial animations in 3D space based on speech. Learning-based methods have shown promising progress in achieving accurate…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Se Jin Park , Joanna Hong , Minsu Kim , Yong Man Ro

Audio-driven talking head generation is a significant and challenging task applicable to various fields such as virtual avatars, film production, and online conferences. However, the existing GAN-based models emphasize generating…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Jintao Tan , Xize Cheng , Lingyu Xiong , Lei Zhu , Xiandong Li , Xianjia Wu , Kai Gong , Minglei Li , Yi Cai

We present a feed-forward framework for Gaussian full-head synthesis from a single unposed image. Unlike previous work that relies on time-consuming GAN inversion and test-time optimization, our framework can reconstruct the Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2025-10-13 Peng Li , Yisheng He , Yingdong Hu , Yuan Dong , Weihao Yuan , Yuan Liu , Siyu Zhu , Gang Cheng , Zilong Dong , Yike Guo

We introduce GenSync, a novel framework for multi-identity lip-synced video synthesis using 3D Gaussian Splatting. Unlike most existing 3D methods that require training a new model for each identity , GenSync learns a unified network that…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Anushka Agarwal , Muhammad Yusuf Hassan , Talha Chafekar

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

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

We introduce Free3D, a simple accurate method for monocular open-set novel view synthesis (NVS). Similar to Zero-1-to-3, we start from a pre-trained 2D image generator for generalization, and fine-tune it for NVS. Compared to other works…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Chuanxia Zheng , Andrea Vedaldi

In this work, we address the problem of 4D facial expressions generation. This is usually addressed by animating a neutral 3D face to reach an expression peak, and then get back to the neutral state. In the real world though, people show…

Computer Vision and Pattern Recognition · Computer Science 2023-05-19 Naima Otberdout , Claudio Ferrari , Mohamed Daoudi , Stefano Berretti , Alberto Del Bimbo