674 Open source projects that are alternatives of or similar to Finegan

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Toward Multimodal Image-to-Image Translation

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

my own deep learning mastery roadmap

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

ICface: Interpretable and Controllable Face Reenactment Using GANs

TriangleGAN, ACM MM 2019.

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

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Applied Deep Learning (2019 Spring) @ NTU

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

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

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

Facial Expression Editing with Controllable Expression Intensity

Masking GAN - Image attribute mask generation

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

A demo webapp to convert images and videos into cartoon!

Aulas da Escola de Inteligência Artificial de São Paulo

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Transform your images as if they were made out of LEGO bricks.

Auxiliary Classifier Generative Adversarial Networks in Keras

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

A DCGAN to generate anime faces using custom mined dataset

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

A system independent tool for interactive image manipulation with Voronoi and Delaunay data structures.

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A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation

Deep learning codes and projects using Python

Image Deblurring using Generative Adversarial Networks

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

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Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

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CDN is a Just-in-time asset manipulation and delivery application, providing a complete content distribution/delivery solution