Volumetric Human Performance
Multi-perspective captured performers, artists, speakers, and movement sequences for training and evaluation workflows.
AI Training Data
4D Fun Inc. creates curated volumetric datasets that capture real performers from multiple viewpoints. These assets can support computer vision, spatial intelligence, digital humans, synthetic media, simulation, and generative content workflows.
Data Products
Multi-perspective captured performers, artists, speakers, and movement sequences for training and evaluation workflows.
Datasets that can support body tracking, segmentation, reconstruction, view synthesis, and spatial understanding research.
Build custom capture sessions, controlled movements, wardrobe variations, lighting environments, and rights-cleared content packages.
Why It Matters
Unlike standard 2D footage, volumetric capture can preserve motion, geometry, multi-angle visual information, and performance nuance. This makes it valuable for emerging AI models that need spatial context, realistic human movement, and rights-managed source material.
Use Cases
Next Step
Tell us the data type, motion class, licensing need, and target model/workflow.