【GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting】 文章链接:http://arxiv.org/abs/2404.16012 项目主页: https://ku-cvlab.github.io/GaussianTalker 我们提出了一种新的框架GaussianTalker,用于实时生成姿势可控的说话者的头部。它利用了3D高斯泼溅( 3DG...
github.com/Kedreamix/Awesome-Talking-Head-Synthesis 引言INTROD 自从2020年开始,在多视角合成中做出来巨大的贡献,他利用神经网络,实现了空间坐标到颜色和密度的映射的,然NeRF的方法是计算密集型的,通常需要大量的训练时间和大量的渲染资源,特别是高分辨率的输出。
I benchmarked the performance of this new blur implementation at a series of pixel sampling radii when operating against 720p video. This should provide a good test, since it's a fairly large image size, and I have a fast path for obtaining video so overhead from everything surrounding the...
To tackle this challenge, we introduce TalkingGaussian, a deformation-based radiance fields framework for high-fidelity talking head synthesis. Leveraging the point-based Gaussian Splatting, facial motions can be represented in our method by applying smooth and continuous deformations to persistent ...
It is useful when talking about how much of a vector space a set of vectors can "occupy" as a linear combination. We start with the definition. Definition 5.3: Span The set of vectors {v1,…,vq} in Rn is said to span Rn, if the equation k1v1+k2v2+⋯+kqvq=u, (5.93) ...
This is the official repository for our ECCV 2024 paperTalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. Paper|Project|Video Installation Tested on Ubuntu 18.04, CUDA 11.3, PyTorch 1.12.1 git clone git@github.com:Fictionarry/TalkingGaussian.git --recursive conda...
Official implementation of “GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting” by Kyusun Cho, Joungbin Lee, Heeji Yoon, Yeobin Hong, Jaehoon Ko, Sangjun Ahn and Seungryong Kim - cvlab-kaist/GaussianT
GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting We propose GaussianTalker, a novel framework for real-time generation of pose-controllable talking heads. It leverages the fast rendering capabilities of 3... K Cho,J Lee,H Yoon,... 被引量:...
作者单位为Korea University,提出了一种用于实时生成可控制姿势的talking head的新框架 -- GaussianTalker。 研究背景 生成由任意语音音频驱动的talking head视频在数字人类、虚拟化身、电影制作和视频会议等领域有广泛应用,但现有方法在控制头部姿势、面部真实感和渲染速度等方面存在局限性。 基于NeRF 的方法能合成高质量...
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...