DOVER: Disentangled Objective Video Quality Evaluator

WARNING: I could not replicate the precise results from the DOVER repo, despite copying their implementation directly and controlling random seeding.

Overview

DOVER is a specialized video quality assessment model for user-generated content, designed to analyze videos from both aesthetic and technical perspectives.

Features

• Dual Perspective Analysis: Separately evaluates aesthetic appeal and technical quality.
• Pre-trained Model: Available on Hugging Face for easy integration.
• High Accuracy: Utilizes advanced research to ensure precise quality assessments.

Use Case

Ideal for platforms hosting and managing user-generated video content, providing insights into both the technical and aesthetic quality of videos.