PyTorch implementation of ECCV 2020 paper "Foley Music: Learning to Generate Music from Videos "

Overview

Foley Music: Learning to Generate Music from Videos

This repo holds the code for the framework presented on ECCV 2020.

Foley Music: Learning to Generate Music from Videos Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, and Antonio Torralba

paper

Usage Guide

Prerequisites

The training and testing in PGCN is reimplemented in PyTorch for the ease of use.

  • Pytorch 1.4

Other minor Python modules can be installed by running

pip install -r requirements.txt

Data Preparation

Download Datasets

The extracted pose and midi for training and audio generation can be downloaded here and unzip to ./data folder.

The original datasets (including videos) can be found:

Training

For URMP

CUDA_VISIBLE_DEVICES=6 python train.py -c config/URMP/violin.conf -e exps/urmp-vn

For AtinPiano

CUDA_VISIBLE_DEVICES=6 python train.py -c config/AtinPiano.conf -e exps/atinpiano

For MUSIC

CUDA_VISIBLE_DEVICES=6 python train.py -c config/MUSIC/accordion.conf -e exps/music-accordion

Generating MIDI, sounds and videos

For URMP

VIDEO_PATH=/path/to/video
INSTRUMENT_NAME='Violin'
python test_URMP.py exps/urmp-vn/checkpoint.pth.tar -o exps/urmp-vn/generate -i Violin -v $VIDEO_PATH -i $INSTRUMENT_NAME

For AtinPiano

VIDEO_PATH=/path/to/video
INSTRUMENT_NAME='Acoustic Grand Piano'
python test_AtinPiano_MUSIC.py exps/atinpiano/checkpoint.pth.tar -o exps/atinpiano/generation -v $VIDEO_PATH -i $INSTRUMENT_NAME

For MUSIC

VIDEO_PATH=/path/to/video
INSTRUMENT_NAME='Accordion'
python test_AtinPiano_MUSIC.py exps/music-accordion/checkpoint.pth.tar -o exps/music-accordion/generation -v $VIDEO_PATH -i $INSTRUMENT_NAME

Notes:

  • Instrument name ($INSTRUMENT_NAME) can be found here

  • If you do not have the video file or you want to generate MIDI and audio only, you can add -oa flag to skip the generation of video.

Other Info

Citation

Please cite the following paper if you feel our work useful to your research.

@inproceedings{FoleyMusic2020,
  author    = {Chuang Gan and
               Deng Huang and
               Peihao Chen and
               Joshua B. Tenenbaum and
               Antonio Torralba},
  title     = {Foley Music: Learning to Generate Music from Videos},
  booktitle = {ECCV},
  year      = {2020},
}
Owner
Chuang Gan
Researcher and Engineer on Deep Learning and Computer Vision
Chuang Gan
An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.

Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Implementation of the method described in the Speech Resynthesis from Di

Facebook Research 253 Jan 06, 2023
This repository contains a pytorch implementation of "StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision".

StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision | Project Page | Paper | This repository contains a pytorch implementation of "St

87 Dec 09, 2022
GrailQA: Strongly Generalizable Question Answering

GrailQA is a new large-scale, high-quality KBQA dataset with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It ca

OSU DKI Lab 76 Dec 21, 2022
Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform This repository is the implementation of "Variable-Rate Deep Image C

Myungseo Song 47 Dec 13, 2022
[ECCV 2020] Gradient-Induced Co-Saliency Detection

Gradient-Induced Co-Saliency Detection Zhao Zhang*, Wenda Jin*, Jun Xu, Ming-Ming Cheng ⭐ Project Home » The official repo of the ECCV 2020 paper Grad

Zhao Zhang 35 Nov 25, 2022
Python PID Tuner - Makes a model of the System from a Process Reaction Curve and calculates PID Gains

PythonPID_Tuner_SOPDT Step 1: Takes a Process Reaction Curve in csv format - assumes data at 100ms interval (column names CV and PV) Step 2: Makes a r

1 Jan 18, 2022
Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

Segmentation from Natural Language Expressions This repository contains the code for the following paper: R. Hu, M. Rohrbach, T. Darrell, Segmentation

Ronghang Hu 88 May 24, 2022
Unofficial Tensorflow-Keras implementation of Fastformer based on paper [Fastformer: Additive Attention Can Be All You Need](https://arxiv.org/abs/2108.09084).

Fastformer-Keras Unofficial Tensorflow-Keras implementation of Fastformer based on paper Fastformer: Additive Attention Can Be All You Need. Tensorflo

Yam Peleg 10 Jan 30, 2022
Unofficial PyTorch code for BasicVSR

Dependencies and Installation The code is based on BasicSR, Please install the BasicSR framework first. Pytorch=1.51 Training cd ./code CUDA_VISIBLE_

Long 59 Dec 06, 2022
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs SMORE is a a versatile framework that scales multi-hop query emb

Google Research 135 Dec 27, 2022
使用yolov5训练自己数据集(详细过程)并通过flask部署

使用yolov5训练自己的数据集(详细过程)并通过flask部署 依赖库 torch torchvision numpy opencv-python lxml tqdm flask pillow tensorboard matplotlib pycocotools Windows,请使用 pycoc

HB.com 19 Dec 28, 2022
Source code for The Power of Many: A Physarum Swarm Steiner Tree Algorithm

Physarum-Swarm-Steiner-Algo Source code for The Power of Many: A Physarum Steiner Tree Algorithm Code implements ideas from the following papers: Sher

Sheryl Hsu 2 Mar 28, 2022
Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"

Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter Code and checkpoints for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling

274 Dec 06, 2022
ByteTrack with ReID module following the paradigm of FairMOT, tracking strategy is borrowed from FairMOT/JDE.

ByteTrack_ReID ByteTrack is the SOTA tracker in MOT benchmarks with strong detector YOLOX and a simple association strategy only based on motion infor

Han GuangXin 46 Dec 29, 2022
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

A 3D multi-modal medical image segmentation library in PyTorch We strongly believe in open and reproducible deep learning research. Our goal is to imp

Adaloglou Nikolas 1.2k Dec 27, 2022
基于Flask开发后端、VUE开发前端框架,在WEB端部署YOLOv5目标检测模型

基于Flask开发后端、VUE开发前端框架,在WEB端部署YOLOv5目标检测模型

37 Jan 01, 2023
dualPC.R contains the R code for the main functions.

dualPC.R contains the R code for the main functions. dualPC_sim.R contains an example run with the different PC versions; it calls dualPC_algs.R whic

3 May 30, 2022
TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

TiP-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling This is the official code release for the paper 'TiP-Adapter: Training-fre

peng gao 189 Jan 04, 2023
Referring Video Object Segmentation

Awesome-Referring-Video-Object-Segmentation Welcome to starts ⭐ & comments 💹 & sharing 😀 !! - 2021.12.12: Recent papers (from 2021) - welcome to ad

Explorer 57 Dec 11, 2022
Bayesian Meta-Learning Through Variational Gaussian Processes

vmgp This is the repository of Vivek Myers and Nikhil Sardana for our CS 330 final project, Bayesian Meta-Learning Through Variational Gaussian Proces

Vivek Myers 2 Nov 17, 2022