<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Me | Yingqi Jie | 介应奇</title><link>https://initialmoon.github.io/zh/authors/me/</link><atom:link href="https://initialmoon.github.io/zh/authors/me/index.xml" rel="self" type="application/rss+xml"/><description>Me</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>zh-Hans</language><lastBuildDate>Mon, 28 Oct 2024 00:00:00 +0000</lastBuildDate><image><url>https://initialmoon.github.io/media/authors/me_hu_9597a502b0bd55aa.jpg</url><title>Me</title><link>https://initialmoon.github.io/zh/authors/me/</link></image><item><title>ANFluid: 基于物理感知模拟与双流纹理学习的自然流体照片动画生成</title><link>https://initialmoon.github.io/zh/publications/anfluid/</link><pubDate>Mon, 28 Oct 2024 00:00:00 +0000</pubDate><guid>https://initialmoon.github.io/zh/publications/anfluid/</guid><description>&lt;p&gt;ANFluid 关注如何从单张静态自然流体图片生成动态动画。方法结合了用于物理合理运动建模的物理感知模拟，以及用于提升纹理预测和内容对齐的双流纹理学习。&lt;/p&gt;
&lt;p&gt;引用信息：Xiangcheng Zhai, Yingqi Jie, Xueguang Xie, Aimin Hao, Na Jiang, and Yang Gao. 2024. ANFluid: Animate Natural Fluid Photos base on Physics-Aware Simulation and Dual-Flow Texture Learning. In Proceedings of the 32nd ACM International Conference on Multimedia (MM &amp;lsquo;24). Association for Computing Machinery, New York, NY, USA, 3323–3331.&lt;/p&gt;</description></item></channel></rss>