SimpleVQA and CompressedVQA

SimpleVQA
38
Emerging
CompressedVQA
23
Experimental
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 13/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 0/25
Stars: 84
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 36
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About SimpleVQA

sunwei925/SimpleVQA

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

This tool helps content creators and platforms automatically assess the quality of user-generated videos without needing a "perfect" reference version. You feed it a user-uploaded video, and it outputs a quality score indicating how good or bad the video looks. It's designed for anyone managing or analyzing large volumes of user-submitted video content.

user-generated-content video-quality-assessment content-moderation social-media-management digital-media-analytics

About CompressedVQA

sunwei925/CompressedVQA

Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos

This project helps video platform managers and content creators evaluate the visual quality of compressed user-generated content (UGC) videos. By inputting either a compressed video alongside its original (for full-reference) or just the compressed video (for no-reference), it outputs a quality score. This is useful for anyone responsible for video quality on platforms like YouTube, TikTok, or streaming services.

video-quality-assessment ugc-video video-compression content-moderation streaming-optimization

Scores updated daily from GitHub, PyPI, and npm data. How scores work