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Related papers: AVFace: Towards Detailed Audio-Visual 4D Face Reco…

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Unlike existing methods that rely on source images as appearance references and use source speech to generate motion, this work proposes a novel approach that directly extracts information from the speech, addressing key challenges in…

Audio and Speech Processing · Electrical Eng. & Systems 2026-03-03 Jinting Wang , Jun Wang , Hei Victor Cheng , Li Liu

We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization. Despite the huge progress in 3D face reconstruction methods, generating reliable 3D face labels for in-the-wild dynamic videos…

Computer Vision and Pattern Recognition · Computer Science 2023-10-09 Kim Youwang , Lee Hyun , Kim Sung-Bin , Suekyeong Nam , Janghoon Ju , Tae-Hyun Oh

Audio to Video generation is an interesting problem that has numerous applications across industry verticals including film making, multi-media, marketing, education and others. High-quality video generation with expressive facial movements…

Computer Vision and Pattern Recognition · Computer Science 2020-12-16 Neeraj Kumar , Srishti Goel , Ankur Narang , Mujtaba Hasan

Previous studies have explored generating accurately lip-synced talking faces for arbitrary targets given audio conditions. However, most of them deform or generate the whole facial area, leading to non-realistic results. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2022-12-12 Yasheng Sun , Hang Zhou , Kaisiyuan Wang , Qianyi Wu , Zhibin Hong , Jingtuo Liu , Errui Ding , Jingdong Wang , Ziwei Liu , Hideki Koike

We propose a novel approach for reconstructing animatable 3D Gaussian avatars from monocular videos captured by commodity devices like smartphones. Photorealistic 3D head avatar reconstruction from such recordings is challenging due to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Jiapeng Tang , Davide Davoli , Tobias Kirschstein , Liam Schoneveld , Matthias Niessner

This paper addresses the problem of face video inpainting. Existing video inpainting methods target primarily at natural scenes with repetitive patterns. They do not make use of any prior knowledge of the face to help retrieve…

Computer Vision and Pattern Recognition · Computer Science 2023-02-14 Wenqi Yang , Zhenfang Chen , Chaofeng Chen , Guanying Chen , Kwan-Yee K. Wong

In this work, we enhance a professional end-to-end volumetric video production pipeline to achieve high-fidelity human body reconstruction using only passive cameras. While current volumetric video approaches estimate depth maps using…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Decai Chen , Markus Worchel , Ingo Feldmann , Oliver Schreer , Peter Eisert

Audio-driven emotional 3D face animation aims to generate emotionally expressive talking heads with synchronized lip movements. However, previous research has often overlooked the influence of diverse emotions on facial expressions or…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Chang Liu , Qunfen Lin , Zijiao Zeng , Ye Pan

We propose an image-based, facial reenactment system that replaces the face of an actor in an existing target video with the face of a user from a source video, while preserving the original target performance. Our system is fully automatic…

Computer Vision and Pattern Recognition · Computer Science 2016-02-09 Pablo Garrido , Levi Valgaerts , Ole Rehmsen , Thorsten Thormaehlen , Patrick Perez , Christian Theobalt

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Shu Zhang , Hui Yu , Ting Wang , Junyu Dong , Honghai Liu

DeepFake based digital facial forgery is threatening the public media security, especially when lip manipulation has been used in talking face generation, the difficulty of fake video detection is further improved. By only changing lip…

Computer Vision and Pattern Recognition · Computer Science 2022-03-11 Ganglai Wang , Peng Zhang , Lei Xie , Wei Huang , Yufei Zha , Yanning Zhang

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

Fast 3D clothed human reconstruction from monocular video remains a significant challenge in computer vision, particularly in balancing computational efficiency with reconstruction quality. Current approaches are either focused on static…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Matthew Marchellus , Nadhira Noor , In Kyu Park

Recovering a dense 3D body mesh from monocular video remains challenging under occlusion from draping and continuously moving camera viewpoints. This configuration arises in surgical augmented reality (AR), where an anesthetized patient…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Mingxiao Tu , Hoijoon Jung , Alireza Moghadam , Andre Kyme , Jinman Kim

This work focuses on the analysis that whether 3D face models can be learned from only the speech inputs of speakers. Previous works for cross-modal face synthesis study image generation from voices. However, image synthesis includes…

Graphics · Computer Science 2021-04-22 Cho-Ying Wu , Ke Xu , Chin-Cheng Hsu , Ulrich Neumann

Person-generic audio-driven face generation is a challenging task in computer vision. Previous methods have achieved remarkable progress in audio-visual synchronization, but there is still a significant gap between current results and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Xiaozhong Ji , Chuming Lin , Zhonggan Ding , Ying Tai , Junwei Zhu , Xiaobin Hu , Donghao Luo , Yanhao Ge , Chengjie Wang

Recent advancements in video generation have significantly impacted various downstream applications, particularly in identity-preserving video generation (IPT2V). However, existing methods struggle with "copy-paste" artifacts and low…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Jiangchuan Wei , Shiyue Yan , Wenfeng Lin , Boyuan Liu , Renjie Chen , Mingyu Guo

Realistic, high-fidelity 3D facial animations are crucial for expressive avatar systems in human-computer interaction and accessibility. Although prior methods show promising quality, their reliance on the mesh domain limits their ability…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Alexandre Symeonidis-Herzig , Özge Mercanoğlu Sincan , Richard Bowden

We present the first approach to volumetric performance capture and novel-view rendering at real-time speed from monocular video, eliminating the need for expensive multi-view systems or cumbersome pre-acquisition of a personalized template…

Computer Vision and Pattern Recognition · Computer Science 2020-07-29 Ruilong Li , Yuliang Xiu , Shunsuke Saito , Zeng Huang , Kyle Olszewski , Hao Li

Forced alignment refers to a technology that time-aligns a given transcription with a corresponding speech. However, as the forced alignment technologies have developed using speech audio, they might fail in alignment when the input speech…

Computer Vision and Pattern Recognition · Computer Science 2023-03-16 Minsu Kim , Chae Won Kim , Yong Man Ro
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