avinashpaliwal/Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2808
- days_rel: n/a
- days_push: 1273
- n_releases_24m: 0
Adoption not part of the score
3025 stars · 481 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A PyTorch implementation of the Super SloMo paper for high-quality video frame interpolation, generating multiple intermediate frames to convert videos into slow motion. It includes training scripts, pretrained models, and an evaluation pipeline.
Use cases
- convert a normal video to slow motion
- interpolate intermediate frames between existing video frames
- increase video frame rate with a neural network
- train a video frame interpolation model on a custom dataset
- evaluate frame interpolation models on UCF101
- reproduce Super SloMo research results
When to choose
- you need deep-learning-based video frame interpolation in PyTorch
- you want to reproduce or build on the Super SloMo paper
- you have a GPU and want high-quality slow-motion conversion
When to avoid
- you need a maintained production tool with modern PyTorch support
- you want real-time interpolation on CPU
- you need a simple CLI without deep learning dependencies
Facets
library · maturity maintenance
video-processing machine-learning deep-learning image-processing computer-vision deep-learning machine-learning python cross-platform video-frame-interpolation slow-motion pytorch neural-networks research-code frame-interpolation video gpu linux
1 source
- readme: https://github.com/avinashpaliwal/Super-SloMo · fetched 2026-08-28 · 86a4a1eb81e7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| avinashpaliwal/Super-SloMo | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="avinashpaliwal/Super-SloMo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem