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deep-motion-editing

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

ganhand

PyTorch implementation for the paper GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes (CVPR 2020 Oral)

gct634-2019

GCT634 Musical Applications of Machine Learning Homework

grab

GRAB: A Dataset of Whole-Body Human Grasping of Objects

grabnet

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

gta-im-dataset

[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html

human-motion-prediction-pytorch

Simple baselines and RNNs for predicting human motion. Presented at CVPR 17. This pytorch implementation is based on the original one by the authors

quaternet

Proposes neural networks that can generate animation of virtual characters for different actions.

stats

stylegestures

vrquestionnairetoolkit