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"use client";
import { Typography } from "@material-tailwind/react";
import AboutCard from "@/components/about-card";
import React from 'react';
const EVENT_INFO = [
{
title: "EMO: Emote Portrait Alive - Generating \
Expressive Portrait Videos with Audio2Video \
Diffusion Model under Weak Conditions",
description: "EMO, a pioneering framework for generating lifelike talking head videos by directly synthesizing video from audio inputs. Unlike traditional methods, EMO bypasses 3D models, ensuring seamless transitions and maintaining identity. Experimental results show superior expressiveness and realism, even in singing videos.",
subTitle: "Talking Head/Face Generation/Lipsync",
imageName : "paper5.png",
paper_links :"https://arxiv.org/pdf/2402.17485.pdf"
},
{
title: "Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes",
description:
" DeepFake can be bifurcated into entertainment applications like face swapping and illicit uses such as lipsyncing fraud",
subTitle: "Lipsync",
imageName : "paper1.png",
paper_links :"https://arxiv.org/pdf/2401.15668.pdf"
},
{
title: "FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio",
description:
"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.",
subTitle: "Lipsync",
imageName : "paper2.png",
paper_links :"https://arxiv.org/pdf/2403.01901.pdf"
},
{
title: "G4G: A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment",
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.",
subTitle: "Lipsync",
imageName : "paper3.png",
paper_links :"https://arxiv.org/pdf/2402.18122.pdf"
},
{
title: "Context-aware Talking Face Video Generation",
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.",
subTitle: "Talking Head/Face Generation",
imageName : "paper4.png",
paper_links :"https://arxiv.org/pdf/2402.18092.pdf"
},
];
export function AboutEvent() {
return (
<section className="container mx-auto flex flex-col items-center px-1 py-2">
<Typography variant="h6" className="text-center mb-2" color="orange" placeholder="">
Every Days Update
</Typography>
<Typography variant="h6" className="text-center mb-2" color="blue-gray" placeholder="">
Daily Top Papers
</Typography>
<Typography variant="lead"
className="mt-2 lg:max-w-4xl mb-8 w-full text-center font-normal !text-gray-500" color="blue-gray" placeholder="">
Contribute to the AI community by sharing your insights and expertise
</Typography>
<div className="mt-8 w-full grid grid-cols-1 md:grid-cols-3 gap-4 ">
{EVENT_INFO.map((props, idx) => (
<AboutCard key={idx} {...props} />
))}
</div>
</section>
);
}
export default AboutEvent;
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