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Guy Tevet's Projects

actor icon actor

Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

audio-cnn-reproduction icon audio-cnn-reproduction

This is a reproduction of the paper 'LEARNING AUDIO FEATURES FOR SINGER IDENTIFICATION AND EMBEDDING' submitted to ICLR2018

bert icon bert

TensorFlow code and pre-trained models for BERT

ctrl icon ctrl

Conditional Transformer Language Model for Controllable Generation

deep-motion-editing icon deep-motion-editing

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

deepsdf icon deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

diversity-eval icon diversity-eval

Official Github repo for the paper "Evaluating the Evaluation of Diversity in Natural Language Generation"

human-motion-prediction-pytorch icon 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

leakgan-eval icon leakgan-eval

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

mass icon mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

mdm-page icon mdm-page

Human Motion Diffusion Model - web page

mint icon mint

Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

moshpp icon moshpp

Motion and Shape Capture from Sparse Markers

motionclip icon motionclip

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

pare icon pare

Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

rnn-gan icon rnn-gan

a class conditioning extension to rnn.wgan previuse work

rnn-gan-eval icon rnn-gan-eval

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

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