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ameerazampixis
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paper6
Browse files- public/paper_image/paper6.png +0 -0
- src/app/about-event.tsx +9 -0
public/paper_image/paper6.png
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src/app/about-event.tsx
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@@ -5,6 +5,15 @@ import AboutCard from "@/components/about-card";
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import React from 'react';
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const EVENT_INFO = [
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{
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title: "EMO: Emote Portrait Alive - Generating \
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Expressive Portrait Videos with Audio2Video \
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import React from 'react';
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const EVENT_INFO = [
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{
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title: " Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis",
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description: "The paper introduces DynTet, a novel hybrid representation combining neural networks and dynamic meshes for accurate facial avatar generation. It addresses artifacts and jitters in implicit methods like NeRF, achieving fidelity, lip synchronization, and real-time performance. Code is available. https://github.com/zhangzc21/DynTet",
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subTitle: "Talking Head/Face Generation/Lipsync",
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imageName : "paper6.png",
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paper_links :"https://arxiv.org/pdf/2402.17485.pdf"
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},
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{
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title: "EMO: Emote Portrait Alive - Generating \
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Expressive Portrait Videos with Audio2Video \
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