714 Open source projects that are alternatives of or similar to Dcgan

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

My pytorch implementation for GAN

Two-stage GANs that generate fingerstyle guitarist images from audio.

This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.

Introduction to Generative Adversarial Networks

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

implemented some computer vision problems

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

Unofficial pytorch implementation of algorithms for domain adaptation

Unsupervised Image-to-Image Translation

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

things I help(ed) to build

No description or website provided.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

Deep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

A deep learning library to provide algs in pure Numpy or Tensorflow.

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Tensorflow implementation of 3D Generative Adversarial Network.

[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

End to End learning for Video Generation from Text

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

CycleGAN based neural network architecture to change the gender of a person’s face

Designed to take you from zero experience to GANs within a week.

Path Planning using Generative Adversarial Network (GAN)

🐳 GAN implemented as Tensorflow 2.X

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

Pure tensorflow implementation of progressive growing of GANs

Spectral Normalization and Projection Discriminator

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Tensorflow implementation of paper "unsupervised image to image translation networks"

Benchmarking synthetic data generation methods.

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

3D-aware GANs based on NeRF (arXiv).

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Tensorflow-based framework to ease training of generative models

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

No description or website provided.

A Survey on Text-to-Image Generation/Synthesis.

PyTorch study

Repository for MAD-GAN Paper done in ML CAMP Jeju

InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

dcgan combined with vae in pytorch!

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.