NJU-PCALab/STAR
[ICCV 2025] STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution observed · 2026-08-28
Health v2 · maintenance only
34/100
- Activity 29
- Release rhythm 35
- Longevity 46
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 650
- days_rel: n/a
- days_push: 427
- n_releases_24m: 0
Adoption not part of the score
1495 stars · 87 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
STAR is a research implementation of an ICCV 2025 paper performing real-world video super-resolution using spatial-temporal augmentation with text-to-video diffusion models. It provides inference and training code (I2VGen-XL version) plus online demos on HuggingFace and Colab.
Use cases
- upscale low-quality real-world videos
- restore degraded video to high resolution
- enhance old compressed video footage
- run diffusion-based video super-resolution
- reproduce video restoration research results
When to choose
- you need state-of-the-art real-world video super-resolution
- you want a diffusion-model-based video restoration pipeline with training code
- you want to build on published ICCV 2025 research
When to avoid
- you need a lightweight real-time video upscaler
- you lack a GPU or cannot run large diffusion models
- you need a commercially licensed tool (no license is provided)
Facets
library · maturity active
video-processing image-processing deep-learning stable-diffusion computer-vision machine-learning image-processing python video-super-resolution diffusion-models text-to-video iccv-2025 research-code video gpu linux
1 source
- readme: https://github.com/NJU-PCALab/STAR · fetched 2026-08-28 · 99f7bb268d5a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NJU-PCALab/STAR | main | 34 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem