UNIC-Lab/RadioDiff
This is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction", IEEE TCCN.
- Stars
- 324
- Forks
- 25
- Open issues
- 2
- Last push
- 3mo ago
About RadioDiff
RadioDiff is a free, open-source AI coding tool by UNIC-Lab, written mainly in Python. This is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction", IEEE TCCN. It has 324 GitHub stars and 25 forks, and was last updated 3mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 324
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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RadioDiff FAQ
Is RadioDiff free?
Yes. RadioDiff is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does RadioDiff run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does RadioDiff need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is RadioDiff still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to RadioDiff?
Similar free, open-source tools include intro_dgm, pgmpy, Video-MME-v2, OpenMontage.