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EasyMocap is an open-source toolbox built by Zhejiang University that enables 3D human pose estimation from regular RGB videos, used by research projects like HumanNeRF, but with licensing considerations due to SMPL body models.
A fast and affordable alternative to traditional motion capture, featuring Sara Silkin.
Proposes physical self-supervised learning, an autoencoder paradigm for label-free IMU sensing that replaces the neural decoder with a physics-based decoder, achieving up to 5x error reduction in tracking and motion capture tasks without manual labels.
Sara Silkin presents a new AI motion capture pipeline, likely building upon the techniques used in 'Jibaro'.
VFX artist demonstrates how to use Uisato Studio's Kling Motion Control to transform an iPhone dance video into a multi-angle robotic aesthetic piece, showcasing low-budget motion capture techniques.
Explains that 'markerless' motion capture still uses markers but estimates them via webcam instead of expensive equipment, enabling multi-person, scale-aware capture.
The article announces the release of Marionette, a browser-based tool that allows users to record and share robot motions for the Reachy Mini using their phones or computers.
MoCapAnything V2 introduces a fully end-to-end framework for arbitrary-skeleton motion capture from monocular video, jointly optimizing video-to-pose and pose-to-rotation predictions to resolve rotation ambiguity.
A 20-year-old U.S. student built millimeter-accurate motion-capture hardware with $3 in parts and Claude Code overnight, then sold the project for $230k a week later.