UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Last update: Dec 26, 2022

Overview

UnivNet

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation.

Training

python train.py --config config_c32.json

Citation

@misc{seo2021controlling,
      title={Controlling Neural Networks with Rule Representations}, 
      author={Sungyong Seo and Sercan O. Arik and Jinsung Yoon and Xiang Zhang and Kihyuk Sohn and Tomas Pfister},
      year={2021},
      eprint={2106.07804},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

References:

Owner

Rishikesh (ऋषिकेश)

GitHub Repository

Wileless-PDGNet Implementation

Wileless-PDGNet Implementation This repo is related to the following paper: Boning Li, Ananthram Swami, and Santiago Segarra, "Power allocation for wi

6 Oct 04, 2022

Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

DTI-Sprites Pytorch implementation of "Unsupervised Layered Image Decomposition into Object Prototypes" paper Check out our paper and webpage for deta

40 Dec 22, 2022

Code for Greedy Gradient Ensemble for Visual Question Answering （ICCV 2021, Oral）

Greedy Gradient Ensemble for De-biased VQA Code release for "Greedy Gradient Ensemble for Robust Visual Question Answering" (ICCV 2021, Oral). GGE can

21 Jun 29, 2022

NP DRAW paper released code

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation This repo contains the official implementation for the NP-DRAW paper.

22 Mar 13, 2022

iBOT: Image BERT Pre-Training with Online Tokenizer

Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.

435 Jan 06, 2023

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Directed Graph Contrastive Learning Paper | Poster | Supplementary The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL). In this

28 Jan 08, 2023

SVG Icon processing tool for C++

BAWR This is a tool to automate the icons generation from sets of svg files into fonts and atlases. The main purpose of this tool is to add it to the

66 Dec 14, 2022

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

IllustrationGAN A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations. Generated Images

268 Nov 27, 2022

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au

14 Nov 28, 2022

Implementation of ToeplitzLDA for spatiotemporal stationary time series data.

Code for the ToeplitzLDA classifier proposed in here. The classifier conforms sklearn and can be used as a drop-in replacement for other LDA classifiers. For in-depth usage refer to the learning from

5 Nov 07, 2022

Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"

PSS: Personalized Image Semantic Segmentation Paper PSS: Personalized Image Semantic Segmentation Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming

15 Jul 09, 2022

A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

189 Dec 28, 2022

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

Sarus published models Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are

39 Aug 19, 2022

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Overview This code is for paper: Not All Unlabeled Data are Equa

22 Nov 23, 2022

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Related tags

Overview

UnivNet

Training

Citation

References:

Owner

Rishikesh (ऋषिकेश)

Wileless-PDGNet Implementation

Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

Code for Greedy Gradient Ensemble for Visual Question Answering （ICCV 2021, Oral）

NP DRAW paper released code

iBOT: Image BERT Pre-Training with Online Tokenizer

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

SVG Icon processing tool for C++

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Implementation of ToeplitzLDA for spatiotemporal stationary time series data.

Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"

A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

Bringing sanity to world of messed-up data

CNN Based Meta-Learning for Noisy Image Classification and Template Matching

Self-supervised Label Augmentation via Input Transformations (ICML 2020)

Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Related tags

Overview

UnivNet

Training

Citation

References:

Owner

Rishikesh (ऋषिकेश)

Wileless-PDGNet Implementation

Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

Code for Greedy Gradient Ensemble for Visual Question Answering （ICCV 2021, Oral）

NP DRAW paper released code

iBOT: Image BERT Pre-Training with Online Tokenizer

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

SVG Icon processing tool for C++

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Implementation of ToeplitzLDA for spatiotemporal stationary time series data.

Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"

A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

SAFL: A Self-Attention Scene Text Recognizer with Focal Loss

Bringing sanity to world of messed-up data

CNN Based Meta-Learning for Noisy Image Classification and Template Matching

Self-supervised Label Augmentation via Input Transformations (ICML 2020)

Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.