VideoGigaGanHub Save

VideoGigaGAN is a new generative VSR model that can produce videos with high-frequency details and temporal consistency.

Project README

VideoGigaGAN Project Website

Preview

This is the open-source website for the VideoGigaGAN project, aimed at showcasing the research results of the VideoGigaGAN model in video super-resolution. VideoGigaGAN is a new generative video super-resolution model that can produce high-resolution videos with rich details and temporal consistency.

Features

  • Showcase the video super-resolution results of the VideoGigaGAN model
  • Provide an overview of the model and technical details
  • Display ablation study results
  • Compare with other state-of-the-art video super-resolution models
  • Offer more examples of video super-resolution results

Tech Stack

  • Next.js (app router): Build a server-rendered React application using Next.js's app router.
  • Tailwind CSS: Use Tailwind CSS for fast and efficient styling.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Open Source Agenda is not affiliated with "VideoGigaGanHub" Project. README Source: danaigc/videoGigaGanHub
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