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

Shangchen Zhou^∗  Peiqing Yang^∗  Jianyi Wang  Yihang Luo  Chen Change Loy

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

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🔥 Update

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

🎬 Overview

🏞️ 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 shangchenzhou@gmail.com or peiqingyang99@outlook.com.