https://github.com/ytakzk/generative_modelling_with_design_constraints
Reinforcement learning for furniture generation
https://github.com/ytakzk/generative_modelling_with_design_constraints
architectural-design generative-art generative-model machine-learning object-generation reinforcement-learning
Last synced: 3 months ago
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Reinforcement learning for furniture generation
- Host: GitHub
- URL: https://github.com/ytakzk/generative_modelling_with_design_constraints
- Owner: ytakzk
- Created: 2019-06-27T14:59:26.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-10-06T13:17:05.000Z (over 6 years ago)
- Last Synced: 2025-04-12T21:29:42.456Z (about 1 year ago)
- Topics: architectural-design, generative-art, generative-model, machine-learning, object-generation, reinforcement-learning
- Language: JavaScript
- Homepage: https://rl.ytakzk.me/
- Size: 7.83 MB
- Stars: 14
- Watchers: 0
- Forks: 5
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Generative Modelling with Design Constraints
Generative design has been explored in architecture to produce unprecedented geometries, however, in most cases, design constraints are limited during the design process.
Limitations of existing generative design strategies include topological inconsistencies of the output geometries, dense design outputs, as the format used is often voxels or point clouds, and finally out-of-scope design constraints.
In order to overcome such shortcomings, a novel reinforcement learning (RL) framework is explored in order to design a series of furniture with embedded design and fabrication constraints.

## Demo
You can try it out on our web application [here](https://rl.ytakzk.me/)!

## Dependences
* TensorFlow 1.14.0
* Stable Baselines 2.7.0
* OpenAI Gym 0.14.0
* Trimesh 3.2.13
* OpenMPI 3.2.1
## Works

