Accelerating ray-tracing rendering with generative AI
Reducing rendering time without loss of detail through generative artificial intelligence for predicting reflection directions
Tasks
- Develop a neural network model for predicting ray reflection directions.
- Integrate the model into the existing ray-tracing pipeline.
- Compare performance and visual quality with the classical method.
- Adapt for dynamic scenes and various material types.
About the Project
Ray-tracing is the gold standard for realistic 3D visualization, but its main drawback is high computational complexity. Each light ray requires numerous calculations, especially for modeling reflections, refractions, and diffuse lighting.
A technology based on generative artificial intelligence was developed and tested. Instead of fully physically simulating each ray, the neural network predicts reflection directions, significantly reducing rendering time without loss of detail.
Results
Applications
- Games and VR
- realistic graphics in real time
- Film and Animation
- accelerated production rendering
- Scientific Simulations
- accurate modeling of light effects
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