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
Instance-based label smoothing for improving deep neural networks generalization and calibration

Instance-based Label Smoothing for Neural Networks Pytorch Implementation of the algorithm. This repository includes a new proposed method for instanc

Mohamed Maher 1 Aug 13, 2022
Time-Optimal Planning for Quadrotor Waypoint Flight

Time-Optimal Planning for Quadrotor Waypoint Flight This is an example implementation of the paper "Time-Optimal Planning for Quadrotor Waypoint Fligh

Robotics and Perception Group 38 Dec 02, 2022
Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Deep-Unsupervised-Domain-Adaptation Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E.

Alan Grijalva 49 Dec 20, 2022
Invasive Plant Species Identification

Invasive_Plant_Species_Identification Used LiDAR Odometry and Mapping (LOAM) to create a 3D point cloud map which can be used to identify invasive pla

2 May 12, 2022
This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models are Pix2Pix, Pix2PixHD, CycleGAN and PointWise.

RGB2NIR_Experimental This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models

5 Jan 04, 2023
Official code for "Stereo Waterdrop Removal with Row-wise Dilated Attention (IROS2021)"

Stereo-Waterdrop-Removal-with-Row-wise-Dilated-Attention This repository includes official codes for "Stereo Waterdrop Removal with Row-wise Dilated A

29 Oct 01, 2022
Contrastive Learning Inverts the Data Generating Process

Official code to reproduce the results and data presented in the paper Contrastive Learning Inverts the Data Generating Process.

71 Nov 25, 2022
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

RawVSR This repo contains the official codes for our paper: Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference Xiaoh

Xiaohong Liu 23 Oct 08, 2022
Code for the Paper: Alexandra Lindt and Emiel Hoogeboom.

Discrete Denoising Flows This repository contains the code for the experiments presented in the paper Discrete Denoising Flows [1]. To give a short ov

Alexandra Lindt 3 Oct 09, 2022
Code for "Learning Graph Cellular Automata"

Learning Graph Cellular Automata This code implements the experiments from the NeurIPS 2021 paper: "Learning Graph Cellular Automata" Daniele Grattaro

Daniele Grattarola 37 Oct 26, 2022
Determined: Deep Learning Training Platform

Determined: Deep Learning Training Platform Determined is an open-source deep learning training platform that makes building models fast and easy. Det

Determined AI 2k Dec 31, 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
A Python reference implementation of the CF data model

cfdm A Python reference implementation of the CF data model. References Compliance with FAIR principles Documentation https://ncas-cms.github.io/cfdm

NCAS CMS 25 Dec 13, 2022
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping

Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping

Yam Peleg 63 Sep 21, 2022
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and t

305 Dec 16, 2022
A few stylization coreML models that I've trained with CreateML

CoreML-StyleTransfer A few stylization coreML models that I've trained with CreateML You can open and use the .mlmodel files in the "models" folder in

Doron Adler 8 Aug 18, 2022
QuadTree Attention for Vision Transformers (ICLR2022)

This repository contains codes for quadtree attention. This repo contains codes for feature matching, image classficiation, object detection and seman

tangshitao 222 Dec 28, 2022
Optimizaciones incrementales al problema N-Body con el fin de evaluar y comparar las prestaciones de los traductores de Python en el ámbito de HPC.

Python HPC Optimizaciones incrementales de N-Body (all-pairs) con el fin de evaluar y comparar las prestaciones de los traductores de Python en el ámb

Andrés Milla 12 Aug 04, 2022
A Protein-RNA Interface Predictor Based on Semantics of Sequences

PRIP PRIP:A Protein-RNA Interface Predictor Based on Semantics of Sequences installation gensim==3.8.3 matplotlib==3.1.3 xgboost==1.3.3 prettytable==2

李优 0 Mar 25, 2022
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

TimeLens: Event-based Video Frame Interpolation This repository is about the High Speed Event and RGB (HS-ERGB) dataset, used in the 2021 CVPR paper T

Robotics and Perception Group 544 Dec 19, 2022