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upscale-a-video's Introduction

Upscale-A-Video:
Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

S-Lab, Nanyang Technological University 

Upscale-A-Video is a diffusion-based model that upscales videos by taking the low-resolution video and text prompts as inputs.

📖 For more visual results, go checkout our project page

🔥 Update

  • [2024.02] YouHQ dataset is made publicly available.
  • [2023.12] This repo is created.

🎬 Overview

overall_structure

🏞️ YouHQ Dataset

The datasets are hosted on Google Drive

Dataset Link Description
YouHQ-Train Google Drive 38,576 videos for training, each of which has around 32 frames.
YouHQ40-Test Google Drive 40 video clips for evaluation, each of which has around 32 frames.

📧 Contact

If you have any questions, please feel free to reach us at [email protected] or [email protected].

upscale-a-video's People

Contributors

sczhou avatar pq-yang avatar

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