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Related papers: VectorTalker: SVG Talking Face Generation with Pro…

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Scalable Vector Graphics (SVG) are an essential format for technical illustration and digital design, offering precise resolution independence and flexible semantic editability. In practice, however, original vector source files are…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Qijia He , Xunmei Liu , Hammaad Memon , Ziang Li , Zixian Ma , Jaemin Cho , Jason Ren , Daniel S Weld , Ranjay Krishna

Audio-driven facial animation presents an effective solution for animating digital avatars. In this paper, we detail the technical aspects of NVIDIA Audio2Face-3D, including data acquisition, network architecture, retargeting methodology,…

Speaker verification (SV) systems using deep neural network embeddings, so-called the x-vector systems, are becoming popular due to its good performance superior to the i-vector systems. The fusion of these systems provides improved…

Audio and Speech Processing · Electrical Eng. & Systems 2018-09-19 Longting Xu , Rohan Kumar Das , Emre Yılmaz , Jichen Yang , Haizhou Li

With the rapid advancement of 3D representation techniques and generative models, substantial progress has been made in reconstructing full-body 3D avatars from a single image. However, this task remains fundamentally ill-posedness due to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Gaofeng Liu , Hengsen Li , Ruoyu Gao , Xuetong Li , Zhiyuan Ma , Tao Fang

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

Real-time synthesis of high-fidelity 3D character motion from audio is a pivotal component for next-generation interactive avatars and virtual assistants. However, most existing approaches are limited to offline processing of complete audio…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Bohong Chen , Yumeng Li , Yinglin Xu , Youyi Zheng , Yanlin Weng , Kun Zhou

This paper presents a generic method for generating full facial 3D animation from speech. Existing approaches to audio-driven facial animation exhibit uncanny or static upper face animation, fail to produce accurate and plausible…

Computer Vision and Pattern Recognition · Computer Science 2022-05-23 Alexander Richard , Michael Zollhoefer , Yandong Wen , Fernando de la Torre , Yaser Sheikh

Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotonous avatar. Most previous works fail to imitate expressive…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Liyang Chen , Zhiyong Wu , Runnan Li , Weihong Bao , Jun Ling , Xu Tan , Sheng Zhao

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

Novel text-to-speech systems can generate entirely new voices that were not seen during training. However, it remains a difficult task to efficiently create personalized voices from a high-dimensional speaker space. In this work, we use…

Audio-driven 3D facial animation aims to map input audio to realistic facial motion. Despite significant progress, limitations arise from inconsistent 3D annotations, restricting previous models to training on specific annotations and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Xiangyu Fan , Jiaqi Li , Zhiqian Lin , Weiye Xiao , Lei Yang

The prevalent approach in self-supervised image generation is to operate on pixel level representations. While this approach can produce high quality images, it cannot benefit from the simplicity and innate quality of vectorization. Here we…

Computer Vision and Pattern Recognition · Computer Science 2022-08-04 Gokcen Gokceoglu , Emre Akbas

Vector graphics, known for their scalability and user-friendliness, provide a unique approach to visual content compared to traditional pixel-based images. Animation of these graphics, driven by the motion of their elements, offers enhanced…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Wenshuo Gao , Xicheng Lan , Luyao Zhang , Shuai Yang

Vector graphics are widely used in digital art and valued by designers for their scalability and layer-wise topological properties. However, the creation and editing of vector graphics necessitate creativity and design expertise, leading to…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Peiying Zhang , Nanxuan Zhao , Jing Liao

Creating high-quality, generalizable speech-driven 3D talking heads remains a persistent challenge. Previous methods achieve satisfactory results for fixed viewpoints and small-scale audio variations, but they struggle with large head…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Wentao Hu , Shunkai Li , Ziqiao Peng , Haoxian Zhang , Fan Shi , Xiaoqiang Liu , Pengfei Wan , Di Zhang , Hui Tian

Audio-driven talking head generation aims to create vivid and realistic videos from a static portrait and speech. Existing AR-based methods rely on intermediate facial representations, which limit their expressiveness and realism.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Yuzhe Weng , Haotian Wang , Yuanhong Yu , Jun Du , Shan He , Xiaoyan Wu , Haoran Xu

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

We introduce VectorPainter, a novel framework designed for reference-guided text-to-vector-graphics synthesis. Based on our observation that the style of strokes can be an important aspect to distinguish different artists, our method…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Juncheng Hu , Ximing Xing , Jing Zhang , Qian Yu

The objective of this paper is to jointly synthesize interactive videos and conversational speech from text and reference images. With the ultimate goal of building human-like conversational systems, recent studies have explored talking or…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 Ji-Hoon Kim , Junseok Ahn , Doyeop Kwak , Joon Son Chung , Shinji Watanabe

Animating 3D head meshes using audio inputs has significant applications in AR/VR, gaming, and entertainment through 3D avatars. However, bridging the modality gap between speech signals and facial dynamics remains a challenge, often…

Graphics · Computer Science 2025-05-13 Xinmu Wang , Xiang Gao , Xiyun Song , Heather Yu , Zongfang Lin , Liang Peng , Xianfeng Gu
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