ameerazam08 commited on
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8322f72
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Update src/app/about-event.tsx

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  1. src/app/about-event.tsx +24 -1
src/app/about-event.tsx CHANGED
@@ -13,7 +13,30 @@ const EVENT_INFO = [
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  imageName : "paper1.png",
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  paper_links :"https://arxiv.org/pdf/2401.15668.pdf"
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  },
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ];
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  export function AboutEvent() {
 
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  imageName : "paper1.png",
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  paper_links :"https://arxiv.org/pdf/2401.15668.pdf"
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  },
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+ {
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+ title: "FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio",
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+ description:
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+ "This paper proposes a method for generating diverse and synchronized talking faces from a single audio input. It tackles challenges by decoupling identity, content, and emotion from audio and maintaining diversity and consistency. The method involves Progressive Audio Disentanglement and Controllable Coherent Frame generation.",
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+ subTitle: "Lipsync",
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+ imageName : "paper2.png",
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+ paper_links :"https://arxiv.org/pdf/2403.01901.pdf"
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+ },
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+
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+ {
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+ title: "G4G: A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment",
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+ description: "This paper addresses the challenge of generating high-fidelity talking faces with synchronized lip movements for arbitrary audio. They propose G4G, a framework enhancing audio-image alignment using diagonal matrices and multi-scale supervision, achieving competitive results.",
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+ subTitle: "Lipsync",
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+ imageName : "paper3.png",
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+ paper_links :"https://arxiv.org/pdf/2403.01901.pdf"
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+ },
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+ {
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+ title: "Context-aware Talking Face Video Generation",
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+ description: "This paper introduces a method for generating multi-person talking face videos considering contextual interactions. It utilizes facial landmarks to control video generation stages, achieving synchronized and coherent results surpassing baselines.",
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+ subTitle: "Talking Head/Face Generation",
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+ imageName : "paper4.png",
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+ paper_links :"https://arxiv.org/pdf/2403.01901.pdf"
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+ },
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+
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  ];
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  export function AboutEvent() {