https://github.com/jungyoonlim/unfold

3D Model UV unwrapping
https://github.com/jungyoonlim/unfold

Last synced: 2 days ago
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3D Model UV unwrapping

• Host: GitHub
• URL: https://github.com/jungyoonlim/unfold
• Owner: Jungyoonlim
• Created: 2023-07-16T19:04:07.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-27T20:22:54.000Z (11 months ago)
• Last Synced: 2024-03-15T16:05:25.703Z (8 months ago)
• Language: Python
• Homepage:
• Size: 66.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# What Unfold does

- Automate UV unwrapping for 3D models with Reinforcement Learning (in interior design, games, 3d art, ar/vr, architecture, engineering, product design etc)

## What is UV-ing?

- ML Algorithms can have an advantage by training on a wide variety of complex geometries, e.g. dealing with non-planar or concave polygons, quite common in 3D models. 

## Unfold Project 

- RL Algorithm 

- Learn UV unwrapping rules 

- Develop a web-based user interface or a plugin for a popular 3D modeling sw to make a way to upload their 3D models and download the generated 2D UV maps. 

- Incorporate my RL model -- embed in my application and able to accept 3D models as input and output 2D UV maps.

- Handle File I/O -- Need to be able to read in 3D model files in various formates and export 2D UV maps in a format thta users can use in their texturing workflow (.png, .jpg, etc)

- A training pipeline -- My RL model can generate UV maps after it's been trained, need to continually train my model on new data so that it can improve over time. 

- Set up a system for collecting training data, re-training your model, and deploying the new versions of my model. 

- Maps should be well laid-out for good performance and usability // follow the guidelines and rules of UV mapping

- Test and Iterate!