Markerless full-body motion capture
Reconstructs temporally consistent, lifelike movement from raw acting footage using a proprietary model and body model, producing 3D animation data from a single camera input.
Kinetix is an AI research lab for 3D motion capture, text-to-animation, retargeting, rigging, and physically grounded AI video generation.
Kinetix is an AI research lab focused on 3D human motion intelligence. Its work combines machine learning and 3D engineering to understand, generate, and control humanoid motion for character animation and related media workflows.
The site highlights two main research directions: 3D animation technologies and AI video with physical grounding. On the 3D side, Kinetix develops markerless motion capture, text-to-animation, mesh-aware retargeting, and automated rigging. On the video side, it presents Kamo-1, a 3D-conditioned video generation model that uses spatial and motion priors to steer camera and character movement together.
Reconstructs temporally consistent, lifelike movement from raw acting footage using a proprietary model and body model, producing 3D animation data from a single camera input.
Generates full-body 3D animation from natural language prompts while keeping motion coherent over time.
Adapts source motion to a target character’s morphology by modeling skeletal structure and mesh geometry, helping reduce clipping, interpenetration, and other mismatches.
Automatically infers an adapted skeleton for unrigged characters using geometric and anatomical priors, creating a rig suitable for downstream animation.
Conditions video generation on 3D priors such as camera trajectories, reconstructed 3D character animations, reference images, and natural language prompts to control both camera and character motion.
Works from a large proprietary motion dataset and a synthetic scaling pipeline built to expand training data across many character morphologies, scenes, lighting conditions, and camera settings.
Use Kinetix’s motion capture research when converting raw acting footage into temporally consistent 3D motion data for animation pipelines.
Use the text-to-animation and rigging technologies when generating or preparing character motion for 3D production work.
Use mesh-aware retargeting when motion needs to move between characters with different body shapes or skeletal structures.
Use Kamo-1 when camera movement and character movement need to be coordinated inside the same generated video shot.
Use the team’s technologies as embedded capabilities in tools or game workflows, as shown by integrations with Unity Muse, OVERDARE, and Adobe Mixamo.
Kinetix is an AI research company focused on understanding and generating human motion in 3D. Its work spans motion capture, text-to-animation, mesh-aware retargeting, and AI video with physical grounding.
The source material presents Kinetix primarily as a research lab and technology provider rather than a packaged SaaS product. It builds models and tools for 3D animation and human motion workflows.
Kinetix’s 3D research page highlights markerless full-body motion capture from a single camera, natural-language-to-full-body 3D animation, mesh-aware retargeting, and automated rigging.
The pricing page currently returns a 404, so the site does not provide a public pricing model in the collected sources.
The site references integrations and deployments with Unity Muse, OVERDARE by KRAFTON, and Adobe Mixamo, but no general integration list or API documentation is shown in the collected pages.