SFTtech / SFTtech/openage

Learn AoE graphics style and then autogenerate assets

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#829 22 comments 13 reactions 0 assignees View on GitHub

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area: assets nice new thing ☺ to-discuss
Dominant language
Python
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Description

Hello there.
We cannot use the original AoE assets.
Have a look at this work https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix which can turn zebras into horses and vice versa using learning. I thought it would be awesome to learn the graphical style of AoE assets and apply it to pictures of houses, castles and other buildings to generate game assets. The next step would be, to use it on satellite data to create maps similar to real world regions.
This idea is a bit crazy and still out of reach, but openage is all about crazy ideas.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the linked pytorch-CycleGAN-and-pix2pix project and the issue's proposed progression from AoE-style building assets to satellite-derived maps. The issue names no repository files, tests, entry points, or acceptance criteria, so the scope and definition of done would need to be established before implementation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
computer-graphics, game-dev, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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