1444 Open source projects that are alternatives of or similar to Mgan

StarNet

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.)

Code for deep generative prior (ECCV2020 oral)

A clean and readable Pytorch implementation of CycleGAN

Synthesizing and manipulating 2048x1024 images with conditional GANs

🎥 Video stabilization using L1-norm optimal camera paths.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

👩 Library for image processing

Webassembly compilation of https://github.com/ImageMagick/ImageMagick & samples

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

A General Purpose Image Manipulation Tool

Page to PAGE Layout Analysis Tool

Keras implementation of CycleGAN using a tensorflow backend.

Screen{shot,cast} and perform ImageOps on the command line 🌱 🏞️

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

A JavaScript implementation of a image to Ascii code

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Source code of images.weserv.nl, to be used on your own server(s).

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Image-to-image translation with conditional adversarial nets

HDR, PFM, DDS, KTX, EXR, PNG, JPG, BMP image viewer and manipulator

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

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

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

python binding for libvips using cffi

Image-to-Image Translation in PyTorch

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Magic, madness, heaven, sin

Interactive Image Generation via Generative Adversarial Networks

Contrast Enhancement Techniques for low-light images

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

A fully customizable photo editor for your app.

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

📸 High-performance cli batch image resizer and rotator

yolo(all versions) implementation in keras and tensorflow 2.4

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

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

Super fast, on-demand and on-the-fly, image processing.

⚡ Rust/WebAssembly image processing library

With Oblique explore new styles of displaying images

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

Color splash effects using Deep Learning

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Nimp - Node-based image manipulation program.

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Software that can autocomplete sketches as the user starts drawing.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Bringing Old Photo Back to Life (CVPR 2020 oral)

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)