paper7

src/app/about-event.tsx

@@ -5,8 +5,20 @@ import AboutCard from "@/components/about-card";
 
 import React from 'react';
 const EVENT_INFO = [
+
+
   
  
+{
+  title: "Resolution-Agnostic Neural Compression for \
+  High-Fidelity Portrait Video Conferencing via \
+  Implicit Radiance Fields",
+  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.",
+  subTitle: "Talking Head/Face Generation/Lipsync/Nerf",
+  imageName : "paper7.png",
+  paper_links :"https://arxiv.org/pdf/2402.16599.pdf"
+
+},
   {
     title: " Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis",
     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",