594 Open source projects that are alternatives of or similar to 3d Gan Superresolution

TensorFlow GAN implementation using Gumbel Softmax

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Pytorch implementation of pix2pix for various datasets.

PyTorch implementation of CycleGAN

Re-implement CycleGAN in Tensorlayer

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

A Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"

Deep learning with cats (^._.^)

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Comparison of Generative Models in Tensorflow

Train DCGAN with TPUs on Google Cloud

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Modified h5tool.py make user getting celeba-HQ easier

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

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Privacy-preserving generative deep neural networks support clinical data sharing

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

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

Replace faces in a video with imaginary persons generated by a progressive GAN deep neural network

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

Voice Conversion with GANs

Tensorflow Implementation of GAN modeling for sequential data

[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

A very simple generative adversarial network (GAN) in PyTorch

Looking up a generative latent vectors from (face) reference images.

Image-to-image translation with conditional adversarial nets

[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation

《深度学习与计算机视觉》配套代码

Advanced Deep Learning with Keras, published by Packt

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

learn code with tensorflow

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Unity Post Processing with Convolution Neural Network

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Neural Paiters

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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

Adversarial Generation of Continuous Images [CVPR 2021]

Composable GAN framework with api and user interface

Benchmark and resources for single super-resolution algorithms

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Keras implementations of Generative Adversarial Networks.

Awesome paper list with code about generative adversarial nets

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Super Resolution of picture images using deep learning

An implementation of CycleGan using TensorFlow