paper19-18 updated

src/app/about-event.tsx

@@ -12,7 +12,34 @@ import React from 'react';
 //   imageName : "paper12.png",
 //   paper_links :""
 // },
+
+
 const EVENT_INFO = [
+
+{
+  title: "PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics \
+  CVPR 2024",
+  description: "PhysGaussian is a pioneering unified simulation-rendering pipeline that generates physics-based dynamics and photo-realistic renderings simultaneously and seamlessly. Page:https://xpandora.github.io/PhysGaussian/",
+  subTitle: "NeRF/Physics/3D Reconstruction",
+  imageName : "paper19.mp4",
+  paper_links :"https://arxiv.org/pdf/2311.12198.pdf"
+},
+
+{
+  title: "GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians",
+  description: "GaussianAvatars combine dynamic 3D Gaussian splats with a parametric morphable face model for photorealistic avatars. Their method excels in animation control, showcasing superior performance in reenactments from driving videos, surpassing existing techniques.",
+  subTitle: "Gaussian/Head Avatar",
+  imageName : "paper18.mp4",
+  paper_links :"https://arxiv.org/pdf/2312.02069.pdf"
+},
+  {
+  title: "Gaussian Head Avatar:\
+  Ultra High-fidelity Head Avatar via Dynamic Gaussians",
+  description: "The Gaussian Head Avatar method combines controllable 3D Gaussians and MLP-based deformation fields to achieve high-fidelity head avatar modeling, outperforming existing sparse-view methods. It ensures fine-grained dynamic details and expression accuracy, achieving ultra high-fidelity rendering quality at 2K resolution",
+  subTitle: "Gaussian/Head Avatar",
+  imageName : "paper17.mp4",
+  paper_links :"https://arxiv.org/pdf/2312.03029.pdf"
+},
   {
   title: "Tuning-Free Noise Rectification:for High Fidelity Image-to-Video Generation",
   description: "Noise Rectification is a simple but effective method for image-to-video generation in open domains, and is tuning-free and plug-and-play. Below are several comparisons between  method and other methods.",