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paper7
Browse files- public/paper_image/paper7.png +0 -0
- src/app/about-event.tsx +12 -0
public/paper_image/paper7.png
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src/app/about-event.tsx
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@@ -5,8 +5,20 @@ 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: " 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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import React from 'react';
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const EVENT_INFO = [
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{
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title: "Resolution-Agnostic Neural Compression for \
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High-Fidelity Portrait Video Conferencing via \
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Implicit Radiance Fields",
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description: "A novel low bandwidth neural compression approach for high-fidelity portrait video conferencing is proposed. Dynamic neural radiance fields reconstruct talking heads with expression features, enabling ultra-low bandwidth transmission and high fidelity portrait rendering via volume rendering.",
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subTitle: "Talking Head/Face Generation/Lipsync/Nerf",
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imageName : "paper7.png",
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paper_links :"https://arxiv.org/pdf/2402.16599.pdf"
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},
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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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