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Blurring the lines between physical and digital, this project aimed at creating a hyper-realistic human digital twins using 3d scanning and photogrammetry techniques.
Task
Develop a process to generate digital twins of individuals with high accuracy for use in simulations, AR/VR, and Gaming.
I developed a streamlined digital twin pipeline, ensuring high realism without compromising performance. Instead of bulky, impractical 3D scans, this project focused on scalability and efficiency, making digital twins usable in interactive simulations, real-time applications, and immersive experiences.
Beyond 3D modeling, I refined the process with AI-driven optimizations, procedural texturing, and adaptive rigging, making the models dynamic and responsive.
The challenge was to create a versatile and lightweight digital twin that could be seamlessly used in VR, Movies, Games, and digital experiences.
Using a blend of engineering techniques and creative insight to develop solutions that balanced performance and Realism.
Reduction in processing time compared to traditional photogrammetry pipelines.
3x smaller file sizes while maintaining high visual fidelity.
“This project wasn’t just about creating a digital replica—it was about making digital twins truly functional across industries. Whether in AR training, Movies, or next-gen gaming, this process unlocks new possibilities for realistic, interactive human representation.”
– Cross-Industry Research
– Workflow Automation
– Multi-Platform Optimization
– Performance Benchmarking
– AI-Based Image Enhancement
– Procedural Texture Mapping
– Automated Detail Refinement
– Smart Data Compression
– AR/VR Integration
– Real-Time Rendering
– (LOD) Implementation
– Spatial Computing
– Photogrammetry Pipeline
– Fine Mesh Processing
– Texture Optimization
– Adaptive Rigging