Official repository for Fourier model that can generate periodic signals

Last update: May 25, 2022

Related tags

Overview

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi

This repository provides official pytorch implementation of Fourier-Based Decoder which can generate periodic signals.

The paper can be found in this link:

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Requirements

Pytorch version >= 1.7.1
Python version >= 3.7

License

This repository is MIT-licensed.

Citation

Please cite as:

@inproceedings{lee2021conditional,
  title={Conditional Generation of Periodic Signals with Fourier-Based Decoder},
  author={Lee, Jiyoung and Kim, Wonjae and Gwak, Daehoon and Choi, Edward},
  booktitle={Advances in Neural Information Processing Systems},
  booksubtitle={Deep Generative Models and Downstream Applications Workshop},
  year={2021}
}

Owner

MS @ KAIST AI

GitHub Repository

A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.

3 Dec 29, 2022

Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines

Hierarchical Skills for Efficient Exploration This is the source code release for the paper Hierarchical Skills for Efficient Exploration. It contains

38 Dec 06, 2022

Implementation of Nalbach et al. 2017 paper.

Deep Shading Convolutional Neural Networks for Screen-Space Shading Our project is based on Nalbach et al. 2017 paper. In this project, a set of buffe

17 Sep 08, 2022

Paaster is a secure by default end-to-end encrypted pastebin built with the objective of simplicity.

Follow the development of our desktop client here Paaster Paaster is a secure by default end-to-end encrypted pastebin built with the objective of sim

211 Dec 25, 2022

Neural network chess engine trained on Gary Kasparov's games.

Neural Chess It's not the best chess engine, but it is a chess engine. Proof of concept neural network chess engine (feed-forward multi-layer perceptr

3 Jun 22, 2022

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

cppn-gan-vae tensorflow Train Compositional Pattern Producing Network as a Generative Model, using Generative Adversarial Networks and Variational Aut

343 Dec 29, 2022

Robust and Accurate Object Detection via Self-Knowledge Distillation

Robust and Accurate Object Detection via Self-Knowledge Distillation paper:https://arxiv.org/abs/2111.07239 Environments Python 3.7 Cuda 10.1 Prepare

6 Jul 01, 2022

Official implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Figure 1: Performance of SegFormer-B0 to SegFormer-B5. Project page

1.4k Dec 31, 2022

Implementation of the GVP-Transformer, which was used in the paper "Learning inverse folding from millions of predicted structures" for de novo protein design alongside Alphafold2

GVP Transformer (wip) Implementation of the GVP-Transformer, which was used in the paper Learning inverse folding from millions of predicted structure

19 May 06, 2022

Code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.

TransNAS-Bench-101 This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizabili

17 Nov 20, 2022

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization News: [2020/05/04] Added EGL rendering option for training data g

1.5k Jan 03, 2023

Official repository for Fourier model that can generate periodic signals

Related tags

Overview

Conditional Generation of Periodic Signals with Fourier-Based Decoder

Requirements

License

Citation

Owner

A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.

Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines

Implementation of Nalbach et al. 2017 paper.

Paaster is a secure by default end-to-end encrypted pastebin built with the objective of simplicity.

Neural network chess engine trained on Gary Kasparov's games.

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

Robust and Accurate Object Detection via Self-Knowledge Distillation

Official implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

Implementation of the GVP-Transformer, which was used in the paper "Learning inverse folding from millions of predicted structures" for de novo protein design alongside Alphafold2

Code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.

MEDS: Enhancing Memory Error Detection for Large-Scale Applications

This repository is dedicated to developing and maintaining code for experiments with wide neural networks.

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core

UniFormer - official implementation of UniFormer

Chinese named entity recognization with BiLSTM using Keras

Multiwavelets-based operator model

Deploy optimized transformer based models on Nvidia Triton server

Solutions and questions for AoC2021. Merry christmas!

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"