DIY-ai-art
awesome-generative-art
DIY-ai-art | awesome-generative-art | |
---|---|---|
14 | 3 | |
558 | 1,659 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | 6 months ago | |
Python | ||
- | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DIY-ai-art
-
Ask HN: Resources to learn generative art programming?
Here's a generative art project I did a while back: https://github.com/maxvfischer/DIY-ai-art
It's not so much about creating the generative algorithms, but more if you wanna wrap the learning around a fun project.
-
AI-art isn't art: DALL-E and other AI artists offer only the imitation of art
Last year I built an AI-art installation from scratch and posted the DIY-documentation here on HN [0][1]. A big part of why I built the installation was to stir up this exact discussion. To me, art is about emotions and making people feel, even if that feeling is their strong opinion on art.
[0] https://github.com/maxvfischer/DIY-ai-art)
[1] https://news.ycombinator.com/item?id=28221904
-
Cool (online) places for 2022
DIY AI art
-
DIY AI Art - Can I use Raspberry PI instead of Nvidia Jetson?
I have a question regarding this DIY AI Art project - https://github.com/maxvfischer/DIY-ai-art
- Show HN: I built an AI art installation at home generating new pieces on the fly
- How to build your own AI art installation from scratch
-
Painted from image by learned neural networks
This is amazing! I recently shared a project I've been doing, building an installation visualizing ML-generated art (https://github.com/maxvfischer/DIY-ai-art). It would be amazing to try your painting model on top of my StyleGAN.
-
[P] I build a GAN art installation from scratch at home. Tired of an artwork? Just push the button below the screen and another generated piece will be displayed. By adding a dimension where an artwork you like is just a button-push away from being deleted, it actually makes you enjoy it more
I’ve also written an extensive guide if you want to build your own installation: https://github.com/maxvfischer/DIY-ai-art
awesome-generative-art
-
Creative coding, making loops with Processing
This is something that is pretty much whats closest to my heart. The creative coding / visual scene.
Here is a good list.
https://github.com/kosmos/awesome-generative-art
Also… Shaders ! Is a great way to start.
https://www.vimeo.com/nrlnd
Thats my work. All realtime.
-
Ask HN: Resources to learn generative art programming?
One of the better ones I've found is Tyler Hobbes [0].
I recently found the "Bridges Archive" online [1]. It's a goldmine of ideas (I won't link to them but they have tilings, space filling algorithms, multi-scale Truchet patterns and many more).
I favor the ideas rather than the implementation as I already know how to program so you may do better with learning something like processing/p5.js [2].
In terms of raw ideas, I've found Jared Tarbell to be a huge inspiration [3] [4].
I'm sure I'll get lashed on here for the mere mention of NFTs but I've found there are consistently awesome generative art being displayed on Twitter for artists showing their work and advertising their NFTs for sale. One resource that I've found to be pretty consistently good is fxhash.xyz [5] [6]. Looking for #fxhash tags on Twitter will probably give you rich results.
I also have my own NFTs whose source code I've released as CC0 if you want to take a look [7] (none are for sale right now) along with a half assed attempt at making a list of resources for generative art [8].
There's plenty of "awesome" generative art lists [9] as well as many examples and other projects on p5.js [2]. And of course there's always Reddit [10] [11].
Oh and "Coding Train" is deceptively deep, packing complex ideas in a kind of "cutesy" veneer but still managing to tackle topics that run the gamut of easy to incredibly difficult [12].
There's really too many resources to list. It depends on what level you're at. I tend to focus on Javascript and the 'ideas' rather than the implementation so much. If you're starting from a point of learning programming, you're probably better off going through a tutorial or two on how to actually program and then try and tackle some "classic" generative art examples (grids, recursive grides, flow fields, etc.).
I occasionally run into people who have all their experiments on GitHub which might be enlightening [13].
[0] https://tylerxhobbs.com/essays
[1] https://archive.bridgesmathart.org/#gsc.tab=0
[2] https://p5js.org/examples/
[3] http://www.complexification.net/gallery/
[4] http://levitated.net/
[5] https://www.fxhash.xyz/
[6] https://twitter.com/fx_hash_
[7] https://github.com/abetusk/iao
[8] https://github.com/abetusk/iao/blob/main/Notes.md
[9] https://github.com/kosmos/awesome-generative-art
[10] https://www.reddit.com/r/generative
[11] https://www.reddit.com/r/proceduralgeneration/
[12] https://www.youtube.com/channel/UCvjgXvBlbQiydffZU7m1_aw
[13] https://github.com/anaulin/generative-art
- a question about where to start
What are some alternatives?
ProsePainter
py5 - A Python library that makes Processing available to the CPython interpreter using JPype.
trt_pose - Real-time pose estimation accelerated with NVIDIA TensorRT
genuary2022 - My entries for Genuary2022
kalidokit - Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
weird - Generative art in Common Lisp
torch2trt - An easy to use PyTorch to TensorRT converter
iao - iao
StyleGAN-Tensorflow - Simple & Intuitive Tensorflow implementation of StyleGAN (CVPR 2019 Oral)
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
jetson_stats - 📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
py5generator - Meta-programming project that creates the py5 library code.