Svito-zar

Taras Kucherenko's repositories

gesticulator

The official implementation for ICMI 2020 Best Paper Award "Gesticulator: A framework for semantically-aware speech-driven gesture generation"

Language:PythonGPL-3.0120 6 36

NN-for-Missing-Marker-Reconstruction

This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"

Language:PythonApache-2.037 5 3

speech-driven-hand-gesture-generation-demo

This repository contains the gesture generation model from the paper "Moving Fast and Slow" (https://www.tandfonline.com/doi/full/10.1080/10447318.2021.1883883) trained on the English dataset

Language:PythonApache-2.025 2 7

genea_numerical_evaluations

Scripts for numerical evaluations for the GENEA Gesture Generation Challenge

Language:Python7 2 4

BeeVeeH

BeeVeeH - another BVH Player + some BVH APIs

Language:PythonMIT2 10

wasp-2023-summer-school

This repository contains the three components of the tutorial of the WASP Summer School 2023

2 10

ML_Tutorial_For_Robot_Dreams

Практикум по машинному обучению для украинской компании Robot Dreams

Language:Jupyter Notebook1 10

speech2properties2gestures

We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures.

Language:Python1 3 14

Speech_driven_gesture_generation

This is an obsolete and not maintained implementation for the paper "Should Beat Gestures Be Learned or Designed? A Benchmarking User Study", which is based on the paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation". For the up to date code we refer to the repo from which this code was forked

Language:PythonApache-2.01 10

AIweek-hackaton-Health

Hackaton "AI for Good" organized by Stockholm AI (http://stockholm.ai/) during AI Week

Language:Jupyter Notebook020

gesturebot

The official code for our paper "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents", published as a demonstration at AAMAS 2021.

Language:PythonGPL-3.0000

lets_face_it

This is the official implementation for IVA'20 Best Paper Award "Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings"

Language:PythonMIT000