Search Results for "dynamic geometry"

VGGSfM is an advanced structure-from-motion (SfM) framework jointly developed by Meta AI Research (GenAI) and the University of Oxford’s Visual Geometry Group (VGG). It reconstructs 3D geometry, dense depth, and camera poses directly from unordered or sequential images and videos. The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support for dynamic scene handling, dense point cloud export, video-based reconstruction (1000+ frames), and integration with Gaussian Splatting pipelines. ...

Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting.

A python gear generator that serves as CAE/CAD-preprocessor for involute gears based on pythonOCC. It allows for the computation of dynamic properties and the creation of exact geometries from a minimal input set. PyGear can simulate the tool geometry and kinematics of standard gear hobbing tools to generate precise flank, tooth root and tip geometries.

PyGeo is a dynamic 3d geometry framework written in Python, rendered with VPython.