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Personal MetaHuman practice created in Unreal Engine for learning and skill development.

Over the years, I’ve had the opportunity to work with MetaHuman characters in professional production environments, including previs workflows for large-scale projects. Due to NDA restrictions, I’m unable to share commercial work publicly, so these personal studies are created to showcase my understanding of real-time digital human workflows in Unreal Engine.

Focus areas:

MetaHuman setup and customization
Lighting and look development
Cinematic presentation
Facial expressions and animation workflows
Real-time rendering in Unreal Engine

Raja Ravi Varma inspired MetaHuman practice created in UE 5. This project focused on likeness development, facial detailing, cinematic lighting, and real-time character presentation. Also experimented with facial animation and lip-sync workflow

Motion capture practice created using QuickMagic AI and Unreal Engine 5. A reference video was converted into animation data and retargeted to multiple MetaHuman characters to test real-time motion transfer and character animation workflows.

Personal MetaHuman practice created in Unreal Engine 5 to explore realistic digital human workflows, facial detailing, skin shading, grooming, and cinematic lighting. Focused on creating natural facial features and real-time character presentation.

Personal MetaHuman practice created in Unreal Engine 5 to explore realistic digital human workflows, facial detailing, skin shading, grooming, and cinematic lighting. Focused on creating natural facial features and real-time character presentation.

Personal MetaHuman practice developed in UE 5 focusing on realistic facial structure, skin detailing, hair grooming, and cinematic presentation. This study was mainly created to improve real-time digital human workflows and understand MetaHuman

Personal MetaHuman practice developed in UE 5 focusing on realistic facial structure, skin detailing, hair grooming, and cinematic presentation. This study was mainly created to improve real-time digital human workflows and understand MetaHuman