在定性实验部分,实验结果展示了TalkingGaussian在视觉-音频同步和面部细节生成方面的显著优势。 视觉-音频同步:TalkingGaussian在生成同步的说话头时表现最佳。传统的生成方法在图像质量上有所欠缺。与基于NeRF的方法相比,TalkingGaussian能够在使用相同的音频编码器的情况下,合成更加准确的唇形。 面部细节生成:TalkingGauss...
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed per-embedding Gaussian fields (DEGSTalk), a 3D Gaussian Splatting (3DGS)-based talking...
Perception of visual speech and the influence of visual speech on auditory speech perception is affected by the orientation of a talker's face, but the nature of the visual information underlying this effect has yet to be established. Here, we examine the contributions of visually coarse (...
2401.12568——NeRF-AD: Neural Radiance Field with Attention-based Disentanglement for Talking Face Synthesis 目前,以音频驱动的说话面生成是多维信号处理和多媒体领域的研究热点之一。最近,神经辐射场(NeRF)被引入到这一研究领域,以增强生成的面的逼真度和3D效果。然而,大多数现有的基于NeRF的方法要么将NeRF负担了...
[82] DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis 🧑🔬 作者:Kaijun Deng, Dezhi Zheng, Jindong Xie, Jinbao Wang, Weicheng Xie, Linlin Shen, Siyang Song 🏫 单位:Shenzhen University ⟐ Guangdong Provincial Key Laboratory of Intelligent Informat...
We used talking portrait videos from AD-NeRF, GeneFace and HDTF dataset. These are static videos whose average length are about 3~5 minutes. You can see an example video with the below line: wget https://github.com/YudongGuo/AD-NeRF/blob/master/dataset/vids/Obama.mp4?raw=true -O data...
AI 平台 Hugging Face 现 API 令牌漏洞,黑客可获取微软、谷歌等模型库权限 链接:https://news.miracleplus.com/share_link/12452 安全公司 Lasso Security 日前发现 AI 模型平台 Hugging Face 上存在 API 令牌漏洞,黑客可获取微软、谷歌、Meta 等公司的令牌,并能够访问模型库,污染训练数据或窃取、修改 ...
Additionally, face descriptors are extracted to re-identify users. Authors in [39] presented a real-time collision avoidance system in which the fusion of a RGBD camera and a 2D LiDAR is performed. The main purpose of that sensor fusion is to obtain the model of objects or people to be ...
His current research interest includes talking face, multimedia retrieval, speech recognition, multimedia signal processing and pattern recognition. About the Author—ZHI-QIANG LIU received the M.A.Sc. degree in Aerospace Engineering from the Institute for Aerospace Studies, The University of Toronto, ...
Under such a deformation paradigm, we further identify a face-mouth motion inconsistency that would affect the learning of detailed speaking motions. To address this conflict, we decompose the model into two branches separately for the face and inside mouth areas, therefore simplifying the learning ...