For a while by now I was developing a neural network-based software that can make star removal from images simpler. The idea was to train a neural network that can remove stars in one simple step, avoiding time-consuming-thousand-steps procedures with dozens of parameters to tune. It is still not perfect and leaves artifacts when removing large stars, but with a bit of work with clone stamp in Photoshop it can yield a good starless image in a little time.
There are two versions of the code:
1. Python version for more advanced users. Available on GitHub here. The whole code is open-sourced. It is harder to use as you need to install Python, Tensorflow, etc, but give you more possibilities. For example, you can train the neural network some more on your own data, or modify the code for your needs.
2. Pre-compiled binary version that requires no installation, just download and run. Available through here. It is extremely straightforward to use, but for now only Windows x64 version is available. I am working on compiling version for macOS.
You can find much more information and lots of examples in my releases on Astrobin:
GitHub repo also contains a lot of information and example (scroll to the bottom of the page). I don't want to repeat everything in this post, since that would make it excessively long.
Let me know what you think!