Beast code in Giters

Thomas Goussaert's repositories

6d_rot_tensorflow

6D rotation representation ("On the Continuity of Rotation Representations in Neural Networks") for tensorflow

Language:Python000

binance-trade-bot

Automated cryptocurrency trading bot

Language:PythonGPL-3.0000

bvhretarget

test project for bvh loading and retargeting to arbitrary skeleton

Language:Java000

cpuminer-gr-avx2

Optimised Version of GR miner for RTM

Language:CGPL-2.0000

cvpr2018nkn

Tensorflow implementation of the CVPR 2018 paper: Neural Kinematic Networks for Unsupervised Motion Retargetting

Language:PythonNOASSERTION000

GPSaveConverter

Utility to transfer save files between the games installed from the Xbox app and other storefronts. https://ko-fi.com/fr33dan

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imgui

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

MIT000

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

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