HugoTini/DeepBump

Health v2 · maintenance only

Adoption not part of the score

1399 stars · 61 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DeepBump is a machine-learning tool that generates normal, height, and curvature maps from single pictures, using a U-Net (MobileNetV2) model. It ships as a Blender add-on and a command-line program.

Use cases

• generate normal maps from photos
• convert albedo textures to normal maps
• generate height maps from normal maps
• generate curvature maps from normal maps
• upscale low-res textures
• batch generate texture maps from the command line

When to choose

• you work in Blender and need quick normal/height maps from photos
• you want ML-based texture map generation instead of grayscale-slope approximations
• you need a CLI for batch texture map generation

When to avoid

• you need a standalone GUI application outside Blender
• you need to retrain the model (training code is not available)
• you need other PBR maps like roughness or metallic

Facets

plugin · maturity active

machine-learning image-processing cli graphics machine-learning python cross-platform cli normal-map height-map blender-addon texture-generation onnx pbr-texturing game-development blender

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HugoTini/DeepBump")