59 Open Source Image Synthesis Software Projects
Free and open source image synthesis code projects including engines, APIs, generators, and tools.
Dcgan Tensorflow71 ⭐
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
All About The Gan640 ⭐
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Disentangled Person Image Generation161 ⭐
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
Arbitrary Text To Image Papers206 ⭐
A collection of arbitrary text to image papers with code (constantly updating)
Bmsg Gan577 ⭐
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
An image fusion techniques presented in “Poisson image editing", P. Pérez, M. Gangnet, and A. Blake, SIGGRAPH 2003.
Collaborative Gan Sampling23 ⭐
[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
Shaohua0116 Wgan Gp Tensorflow41 ⭐
TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
[TPAMI 2020] Generating Novel Views of Vehicles via Semi-parametric Guidance. A semi-parametric approach for synthesizing novel views of a rigid object from a single monocular image.
Novelviewsynthesis Tensorflow47 ⭐
A TensorFlow implementation of a simple Novel View Synthesis model on ShapeNet (cars and chairs), KITTI, and Synthia.
A data-driven approach for interactively synthesizing diverse images from semantic label maps.
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
Code to generate G_seg, G_pos and G_app images from "Example-Based Synthesis of Stylized Facial Animations" by JAKUB FIŠER et al.
Official implementation of "Content-Consistent Generation of Realistic Eyes with Style", ICCW 2019
Adversarial Lesions21 ⭐
[PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning
Semantic Object Accuracy For Generative Text To Image Synthesis96 ⭐
Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)
This is a web project about auto-matting with deep learning tech, which can be used in image merge, poster generate, video editing etc.
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations (SciVis 2019)
Sketch2color Anime Translation81 ⭐
Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Neurally Guided Style Transfer36 ⭐
The official implementation of papers: (1) Arbitrary Style Transfer Using Neurally-Guided Patch-Based Synthesis and (2) Enhancing Neural Style Transfer using Patch-Based Synthesis
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Generative View Synthesis: from Single-view Semantics to Novel-view Images, Habtegebrial et al. NeurIPS 2020
Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.
[CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation.
Patho Gan19 ⭐
Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
Happy Jihye Awesome Gan Papers12 ⭐
Generative Adversarial Networks : paper, pytorch-code, review(Korean)
External Internal Inpainting81 ⭐
[CVPR 2021] EII: Image Inpainting with External-Internal Learning and Monochromic Bottleneck
SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
Willtwr Artgan13 ⭐
Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "