
In-Camera Visual Effects Cluster Rendering
Research Team
Spencer Idenouye
Kevin Santos
James Rowan
Partners
Dark Slope Studios
NRC IRAP
CTO
Impact
- Cluster rendering optimization for V.P. in UE5.
- Latency reduction in in LED volume systems
- Color pipeline and calibration workflow for V.P
Developing a Managed Colour Workflow and Engine Distribution System for In-Camera VFX
This research project focused on enhancing virtual production workflows through the development, deployment, and testing of cluster rendering setups using ICVFX nDisplay in Unreal Engine.
The team evaluated optimal configurations for multiple synchronized display devices, establishing a reliable method for distributing and managing engine versions across networked machines. In addition, performance benchmarking was conducted to identify and reduce latency within the LED volume system, resulting in improved real-time responsiveness for camera-tracked scenes. A major emphasis was placed on color pipeline optimization, leading to the creation of a managed, camera-aware calibration workflow using OCIO and OpenVPCal.
These efforts collectively contributed to a more efficient, technically consistent, and production-ready virtual production environment.
