research•January 10, 2025
Lighting-Aware Image Generation
Experiments in conditioning generative AI on explicit lighting direction and quality.
Most AI-generated images have flat, ambient lighting. This project explores whether we can teach models to respect lighting intent.
Approach
- Key light direction (spherical coordinates)
- Fill ratio
- Color temperature
- Specular intensity
**Current State** Promising results on portraits. Architectural scenes need more training data. The model definitely understands "light from upper left" now.
**Next Steps** Training on VFX-supervised data where ground truth lighting is known from the 3D setup.
AILightingControlNetResearch