Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.

Related tags

Deep Learning deep-learning audio-analysis music-visualizer semantic-analysis biggan
Overview

BigGAN Audio Visualizer

Description

This visualizer explores BigGAN (Brock et al., 2018) latent space by using pitch/tempo of an audio file to generate and interpolate between noise/class vector inputs to the model. Classes are chosen manually or optionally using semantic similarity on BERT encodings of a lyrics corpus.

Usage:

usage: visualize.py [-h] -s SONG [--resolution {128,256,512}] [-d DURATION]
               [-ps [200-295]] [-ts [0.05-0.8]]
               [--classes CLASSES [CLASSES ...]] [-n NUM_CLASSES]
               [--jitter [0-1]] [--frame_length i*2^6] [--truncation [0.1-1]]
               [--smooth_factor [10-30]] [--batch_size BATCH_SIZE]
               [-o OUTPUT_FILE] [--use_last_vectors] [--use_last_classes]
               [-l LYRICS]

Arguments

short long default range help
-h --help show this help message and exit
-s --song input/romantic.mp3 path to input audio file
--resolution 512 {128,256,512} output video resolution
-d --duration None output video duration
-ps --pitch_sensitivity 220 [200-295] controls the sensitivity of the class vector to changes in pitch
-ts --tempo_sensitivity 0.25 [0.05-0.8] controls the sensitivity of the noise vector to changes in volume and tempo
--classes None manually specify [--num_classes] ImageNet classes
-n --num_classes 12 number of unique classes to use
--jitter 0.5 [0-1] controls jitter of the noise vector to reduce repitition
--frame_length 512 i*2^6 number of audio frames to video frames in the output
--truncation 1 [0.1-1] BigGAN truncation parameter controls complexity of structure within frames
--smooth_factor 20 [10-30] controls interpolation between class vectors to smooth rapid flucations
--batch_size 30 BigGAN batch_size
-o --output_file name of output file stored in output/, defaults to [--song] path base_name
--use_last_vectors False set flag to use previous saved class/noise vectors
--use_last_classes False set flag to use previous classes
-l --lyrics None path to lyrics file; setting [--lyrics LYRICS] computes classes by semantic similarity under BERT encodings
You might also like...
Space robot - (Course Project) Using the space robot to capture the target satellite that is disabled and spinning, then stabilize and fix it up

Space robot - (Course Project) Using the space robot to capture the target satellite that is disabled and spinning, then stabilize and fix it up

Mingrui Yu 3 Jan 7, 2022
Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]
Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

Face Identity Disentanglement via Latent Space Mapping Description Official Implementation of the paper Face Identity Disentanglement via Latent Space

null 150 Dec 7, 2022
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search, accepted by IJCAI 2021.

Instance-Aware Latent-Space Search This is a PyTorch implementation of the following paper: Disentangled Face Attribute Editing via Instance-Aware Lat

null 67 Dec 21, 2022
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Code accompanying CVPR'20 paper of the same title. Paper lin

Alex Damian 7k Dec 30, 2022
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

Update (20 Jan 2020): MODALS on text data is avialable MODALS MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space Table of Conte

null 38 Dec 15, 2022
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt. This is done by

Mehdi Cherti 135 Dec 30, 2022
PyTorch implementation of the WarpedGANSpace: Finding non-linear RBF paths in GAN latent space (ICCV 2021)
PyTorch implementation of the WarpedGANSpace: Finding non-linear RBF paths in GAN latent space (ICCV 2021)

Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space" [ICCV 2021].

Christos Tzelepis 100 Dec 6, 2022
Code for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in Deep Latent Space"

SRHEN This is a better and simpler implementation for "SRHEN: Stepwise-Refining Homography Estimation Network via Parsing Geometric Correspondences in

null 1 Oct 28, 2022
Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Implementation based on Paper - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

HamasKhan 3 Jul 8, 2022
Owner
Rush Kapoor
UC Berkeley CS Student with experience in full-stack web development and a keen interest in efficient, interpretable ML.
Rush Kapoor
GitHub
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.

Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU.

Phil Wang 2.3k Jan 9, 2023
[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing

InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing Figure: High-quality facial attributes editing results with InterFaceGA

GenForce: May Generative Force Be with You 1.3k Dec 29, 2022
InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing

InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing Figure: High-quality facial attributes editing results with InterFaceGA

GenForce: May Generative Force Be with You 1.3k Jan 9, 2023
Code to reproduce the results in the paper "Tensor Component Analysis for Interpreting the Latent Space of GANs".

Tensor Component Analysis for Interpreting the Latent Space of GANs [ paper | project page ] Code to reproduce the results in the paper "Tensor Compon

James Oldfield 4 Jun 17, 2022
GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

MTV-TSA: Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions. This is the official code release fo

owl 37 Dec 24, 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

Learning Pixel-level Semantic Affinity with Image-level Supervision This code is deprecated. Please see https://github.com/jiwoon-ahn/irn instead. Int

Jiwoon Ahn 337 Dec 15, 2022
The author's officially unofficial PyTorch BigGAN implementation.

BigGAN-PyTorch The author's officially unofficial PyTorch BigGAN implementation. This repo contains code for 4-8 GPU training of BigGANs from Large Sc

Andy Brock 2.6k Jan 2, 2023
Navigating StyleGAN2 w latent space using CLIP

Navigating StyleGAN2 w latent space using CLIP an attempt to build sth with the official SG2-ADA Pytorch impl kinda inspired by Generating Images from

Mike K. 55 Dec 6, 2022
Non-Official Pytorch implementation of "Face Identity Disentanglement via Latent Space Mapping" https://arxiv.org/abs/2005.07728 Using StyleGAN2 instead of StyleGAN

Face Identity Disentanglement via Latent Space Mapping - Implement in pytorch with StyleGAN 2 Description Pytorch implementation of the paper Face Ide

Daniel Roich 58 Dec 24, 2022
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

CLIP-GLaSS Repository for the paper Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search An in-browser demo is

Federico Galatolo 172 Dec 22, 2022