ant-research/CoDeF
[CVPR'24 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing observed · 2026-08-28
Health v2 · maintenance only
28/100
- Activity 0
- Release rhythm 35
- Longevity 79
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: 1114
- days_rel: n/a
- days_push: 878
- n_releases_24m: 0
Adoption not part of the score
4846 stars · 382 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
CoDeF is the official PyTorch implementation of Content Deformation Fields, a video representation combining a canonical content field and a temporal deformation field. It lifts image algorithms like image-to-image translation and keypoint detection to temporally consistent video processing without training.
Use cases
- apply image editing styles consistently across a whole video
- convert image-to-image translation models into video-to-video translation
- track keypoints in video without training a tracker
- track non-rigid objects like water and smoke
- research on neural video representations
When to choose
- you need temporally consistent video editing or translation from a single-image algorithm
- you want training-free keypoint tracking in videos
- you have a CUDA GPU and want to reproduce CVPR 2024 research results
When to avoid
- you need a production-ready video editing tool with a GUI
- you lack a CUDA GPU (10GB+ VRAM recommended)
- you need real-time video processing, since per-video field optimization is slow
Facets
library · maturity maintenance
video-processing machine-learning computer-vision image-processing computer-vision deep-learning artificial-intelligence python video-representation neural-fields video-editing video-to-video-translation keypoint-tracking research-code cvpr-2024 pytorch video linux gpu
2 sources
- readme: https://github.com/ant-research/CoDeF · fetched 2026-08-28 · c398e6418558
- homepage: https://qiuyu96.github.io/CoDeF/ · fetched 2026-08-29 · 7f55a1f48f1a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ant-research/CoDeF | main | 28 |
For agents
markdown · JSON · MCP: product_card(name="ant-research/CoDeF")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem