claudiom4sir/StableVSR
[ECCV 2024] Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
This project helps video professionals significantly improve the visual quality of low-resolution video footage. It takes standard low-resolution video as input and produces high-resolution video that looks sharper, more detailed, and maintains smooth motion between frames. Anyone involved in video production, restoration, or content creation looking to upscale existing footage would find this useful.
176 stars. No commits in the last 6 months.
Use this if you need to upscale existing low-resolution video content to a higher resolution while preserving natural details and smooth temporal consistency.
Not ideal if you lack access to powerful GPU hardware (14.5GB+ VRAM) or are not comfortable with command-line tools and Python environments.
Stars
176
Forks
7
Language
Python
License
MIT
Category
Last pushed
Feb 07, 2025
Commits (30d)
0
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