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All Projects → HugoTini → DeepBump

HugoTini / DeepBump

Licence: GPL-3.0 license
Normal & height maps generation from single pictures

Programming Languages

python
139335 projects - #7 most used programming language

Labels

machine-learninggeneratorblendermlheightmapblender-addonnormalmap

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DeepBump

DeepBump

DeepBump is a machine-learning driven tool to generate normal & height maps from single pictures. See this blog post for an introduction.

Installation

  1. Download DeepBump as a ZIP.

  2. In Blender, go to Edit -> Preferences -> Add-ons -> Install and select the downloaded ZIP file. Then enable the add-on.

  3. In the add-on preference, click the 'Install dependencies' button (this requires an internet connection and might take a while). In case of error, try running Blender as administrator for this step.

By installing those dependencies, be aware of Microsoft conditions. This add-on use available APIs to disable telemetry.

Usage

Check the blog post first video.

In the Shader Editor, in the right panel under the DeepBump tab:

Color (albedo) → Normals : Select a color image node and click Generate Normal Map.

Normals → Height (displacement) : Select the generated normal map image node and click Generate Height Map.

Normals → Curvature : Select the generated normal map image node and click Generate Curvature Map.

License

This repo is under the GPL license. The training code is currently not available.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].