0 论文信息 题目:One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning 作者团队: 会议:AAAI22 论文链接 无代码 演示视频链接1 任务定义该文章针对的任务是one-shot的说话…
One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging quality factor is the resolution of the output video: higher resolution conveys more details. In this work, we ...
One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging quality factor is the resolution of the output video: higher resolution conveys more details. In this work, we investig...
Besides, we show our keypoint representation allows the user to rotate the head during synthesis, which is useful for simulating face-to-face video conferencing experiences. 1. Introduction We study the task of generating a realistic talking-head video of a pers...
Flow-guided One-shot Talking Face Generation with a High-resolution Audio-visual Datasetpapersupplementary Details of HDTF dataset ./HDTF_datasetconsists ofyoutube video url,video resolution(in our method, may not be the best resolution),time stamps of talking face,facial region(in the our metho...
we propose a one-shot style-controllable talking face generation framework. In a nutshell, we aim to attain a speaking style from an arbitrary reference speaking video and then drive the one-shot portrait to speak with the reference speaking style and another piece of audio. Specifically, we fi...
One-Shot Domain Adaptation For Face Generation这篇文章便是讲的第三种策略。而且通过实验证明,在人脸识别的任务中取得了非凡的效果。 一张target图像应用ours方法可以匹配100张target方法直接训练。 一张target图像应用ours方法与fine-tune相比效果远好于10张target图像,劣于100张target图像。
在 Audio-To-Mesh 阶段，通过 Faceverse 重建参考图像，并使用多分支 Blendshape 和 Vertex 偏移生成器与学习头部姿势的 codebook，实现非刚性面部表情运动和刚性头部运动的映射。学习头部姿势 codebook 采用两阶段训练机制，第一阶段使用 VQ-VAE 构建丰富的头部姿势 codebook，第二阶段将输入音频映射到 ...
{ye2023geneface++, title={GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation}, author={Ye, Zhenhui and He, Jinzheng and Jiang, Ziyue and Huang, Rongjie and Huang, Jiawei and Liu, Jinglin and Ren, Yi and Yin, Xiang and Ma, Zejun and Zhao, Zhou}, ...
PortraitTalk: Towards Customizable One-Shot Audio-to-Talking Face Generation Audio-driven talking face generation is a challenging task in digital communication. Despite significant progress in the area, most existing methods concen... Nazarieh, Fatemeh,Feng, Zhenhua,Kanojia, Diptesh,... 被引量:...