Automated Lighting Scenario Generation

via “automatic lighting design for cg characters in live scenes”

Effortlessly animate, light, and compose CG characters into live scenes.

Unique: Implements automated IBL analysis with machine learning-based light source decomposition to extract a minimal, artist-friendly light rig from uncontrolled footage, rather than requiring manual light matching or full environment map reconstruction. Generates lights that are editable and adjustable in standard DCC software.

vs others: Faster and more automated than manual light matching while producing more editable, artist-controllable results than pure environment map approaches

via “automated lighting matching”

AI-powered tool for animating and compositing CG characters into live-action footage.

Unique: Utilizes a machine learning model trained on a diverse dataset of lighting scenarios, allowing for more accurate and context-aware lighting adjustments than traditional methods.

vs others: More precise than manual lighting adjustments, as it adapts to the specific conditions of the footage automatically.

via “automatic lighting generation and composition”

via “lighting-scenario-visualization”

via “procedural scenario generation”