BriefGPT.xyz
Sep, 2022
针对风格化行走合成的去噪扩散概率模型
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis
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Edmund J. C. Findlay, Haozheng Zhang, Ziyi Chang, Hubert P. H. Shum
TL;DR
本文提出了一种使用去噪扩散概率模型（DDPM）生成风格化人体运动的框架，将两个任务集成到一个管道中，与传统运动合成方法相比，具有更高的风格多样性，实验结果表明，该系统可以生成高质量且多样化的行走动作。
Abstract
Generating realistic motions for digital humans is time-consuming for many graphics applications. Data-driven
motion synthesis
approaches have seen solid progress in recent years through deep
generative models
. T
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