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

Related tags

Deep Learningmint
Overview

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ [ICCV-2021].

Overview

This package contains the model implementation and training infrastructure of our AI Choreographer.

Get started

Pull the code

git clone https://github.com/liruilong940607/mint --recursive

Note here --recursive is important as it will automatically clone the submodule (orbit) as well.

Install dependencies

conda create -n mint python=3.7
conda activate mint
conda install protobuf numpy
pip install tensorflow absl-py tensorflow-datasets librosa

sudo apt-get install libopenexr-dev
pip install --upgrade OpenEXR
pip install tensorflow-graphics tensorflow-graphics-gpu

git clone https://github.com/arogozhnikov/einops /tmp/einops
cd /tmp/einops/ && pip install . -U

git clone https://github.com/google/aistplusplus_api /tmp/aistplusplus_api
cd /tmp/aistplusplus_api && pip install -r requirements.txt && pip install . -U

Note if you meet environment conflicts about numpy, you can try with pip install numpy==1.20.

Get the data

See the website

Get the checkpoint

Download from google drive here, and put them to the folder ./checkpoints/

Run the code

  1. complie protocols
protoc ./mint/protos/*.proto
  1. preprocess dataset into tfrecord
python tools/preprocessing.py \
    --anno_dir="/mnt/data/aist_plusplus_final/" \
    --audio_dir="/mnt/data/AIST/music/" \
    --split=train
python tools/preprocessing.py \
    --anno_dir="/mnt/data/aist_plusplus_final/" \
    --audio_dir="/mnt/data/AIST/music/" \
    --split=testval
  1. run training
python trainer.py --config_path ./configs/fact_v5_deeper_t10_cm12.config --model_dir ./checkpoints

Note you might want to change the batch_size in the config file if you meet OUT-OF-MEMORY issue.

  1. run testing and evaluation
# caching the generated motions (seed included) to `./outputs`
python evaluator.py --config_path ./configs/fact_v5_deeper_t10_cm12.config --model_dir ./checkpoints
# calculate FIDs
python tools/calculate_scores.py

Citation

@inproceedings{li2021dance,
  title={AI Choreographer: Music Conditioned 3D Dance Generation with AIST++},
  author={Ruilong Li and Shan Yang and David A. Ross and Angjoo Kanazawa},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  year = {2021}
}
Owner
Google Research
Google Research
Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

Algo-ScriptML Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The goal of this project is not t

Algo Phantoms 81 Nov 26, 2022
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification

GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification This is the official pytorch implementation of t

Alibaba Cloud 5 Nov 14, 2022
A new data augmentation method for extreme lighting conditions.

Random Shadows and Highlights This repo has the source code for the paper: Random Shadows and Highlights: A new data augmentation method for extreme l

Osama Mazhar 35 Nov 26, 2022
A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

TADDY: Anomaly detection in dynamic graphs via transformer This repo covers an reference implementation for the paper "Anomaly detection in dynamic gr

Yue Tan 21 Nov 24, 2022
PyTorch implementation of hand mesh reconstruction described in CMR and MobRecon.

Hand Mesh Reconstruction Introduction This repo is the PyTorch implementation of hand mesh reconstruction described in CMR and MobRecon. Update 2021-1

Xingyu Chen 236 Dec 29, 2022
This is a file about Unet implemented in Pytorch

Unet this is an implemetion of Unet in Pytorch and it's architecture is as follows which is the same with paper of Unet component of Unet Convolution

Dragon 1 Dec 03, 2021
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage

Keepsake Version control for machine learning. Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Goo

Replicate 1.6k Dec 29, 2022
Code base for reproducing results of I.Schubert, D.Driess, O.Oguz, and M.Toussaint: Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics. NeurIPS (2021)

Learning to Execute (L2E) Official code base for completely reproducing all results reported in I.Schubert, D.Driess, O.Oguz, and M.Toussaint: Learnin

3 May 18, 2022
An Artificial Intelligence trying to drive a car by itself on a user created map

An Artificial Intelligence trying to drive a car by itself on a user created map

Akhil Sahukaru 17 Jan 13, 2022
Detector for Log4Shell exploitation attempts

log4shell-detector Detector for Log4Shell exploitation attempts Idea The problem with the log4j CVE-2021-44228 exploitation is that the string can be

Florian Roth 729 Dec 25, 2022
LeetCode Solutions https://t.me/tenvlad

leetcode LeetCode Solutions groupped by common patterns YouTube: https://www.youtube.com/c/vladten Telegram: https://t.me/nilinterface Problems source

Vlad Ten 158 Dec 29, 2022
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

DHF1K =========================================================================== Wenguan Wang, J. Shen, M.-M Cheng and A. Borji, Revisiting Video Sal

Wenguan Wang 126 Dec 03, 2022
Simple Tensorflow implementation of "Adaptive Convolutions for Structure-Aware Style Transfer" (CVPR 2021)

AdaConv — Simple TensorFlow Implementation [Paper] : Adaptive Convolutions for Structure-Aware Style Transfer (CVPR 2021) Note This repository does no

Junho Kim 26 Nov 18, 2022
make ASCII Art by Deep Learning

DeepAA This is convolutional neural networks generating ASCII art. This repository is under construction. This work is accepted by NIPS 2017 Workshop,

OsciiArt 1.4k Dec 28, 2022
Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

E(n)-Equivariant Transformer (wip) Implementation of E(n)-Equivariant Transformer, which extends the ideas from Welling's E(n)-Equivariant G

Phil Wang 132 Jan 02, 2023
PyTorch implementation of SimSiam: Exploring Simple Siamese Representation Learning

SimSiam: Exploring Simple Siamese Representation Learning This is a PyTorch implementation of the SimSiam paper: @Article{chen2020simsiam, author =

Facebook Research 834 Dec 30, 2022
Deep Sketch-guided Cartoon Video Inbetweening

Cartoon Video Inbetweening Paper | DOI | Video The source code of Deep Sketch-guided Cartoon Video Inbetweening by Xiaoyu Li, Bo Zhang, Jing Liao, Ped

Xiaoyu Li 37 Dec 22, 2022
PyBrain - Another Python Machine Learning Library.

PyBrain -- the Python Machine Learning Library =============================================== INSTALLATION ------------ Quick answer: make sure you

2.8k Dec 31, 2022
Simple-System-Convert--C--F - Simple System Convert With Python

Simple-System-Convert--C--F REQUIREMENTS Python version : 3 HOW TO USE Run the c

Jonathan Santos 2 Feb 16, 2022
Code for "Single-view robot pose and joint angle estimation via render & compare", CVPR 2021 (Oral).

Single-view robot pose and joint angle estimation via render & compare Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic CVPR: Conference on C

Yann Labbé 51 Oct 14, 2022