DreamSkeleton
Automated 2D-to-3D Character Rigging and Motion Synthesis with Diffusion-Based Pose Estimation.
Professional markerless motion capture powered by advanced computer vision.
Move AI represents a paradigm shift in performance capture, leveraging proprietary computer vision and machine learning models to extract high-fidelity 3D human motion from standard video. In 2026, Move AI continues to lead the market by eliminating the need for expensive inertial suits or optical marker setups, allowing creators to capture motion using anywhere from a single iPhone to a multi-camera array. The technical architecture focuses on volumetric reconstruction and skeletal pose estimation with sub-millimeter precision in optimal environments. This accessibility enables indie developers, visual effects houses, and digital artists to integrate realistic human movement into pipelines including Unreal Engine, Unity, Blender, and Maya. The system supports multi-person capture, finger tracking, and environmental interaction, significantly reducing the 'uncanny valley' effect in real-time and post-processed animations. As a cloud-native platform, it utilizes GPU-accelerated processing to deliver clean, retargeted FBX or USD files, positioning itself as the primary alternative to legacy hardware-dependent systems like OptiTrack or Vicon for non-studio-scale production.
Uses deep learning to identify 3D joint positions without the need for physical markers or specialized suits.
Automated 2D-to-3D Character Rigging and Motion Synthesis with Diffusion-Based Pose Estimation.
Real-time AI-powered character animation and rhythmic motion synthesis.
AI-Driven 3D Character Rigging and Motion Retargeting for Rapid Content Production
AI-driven motion capture and 3D character animation for the spatial computing era.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Synchronized tracking of up to 3 actors simultaneously within a single capture volume.
Streams motion data directly from processed clips or live setups into Unreal Engine 5.
Augmented tracking modules for fine motor detail in hands and basic facial expressions.
AI-driven mapping of captured motion onto standard humanoid rigs (MetaHuman, Mixamo).
Offloads heavy CV computations to high-performance GPU clusters.
Technical solve for floor sliding/gliding using ground contact detection AI.
Lack of budget for expensive MoCap studios or suits.
Registry Updated:2/7/2026
Import to Unity.
Creating realistic motion for VTubers without equipment.
Measuring athlete form without restrictive hardware.