All Projects → Singan → Similar Projects or Alternatives

571 Open source projects that are alternatives of or similar to Singan

Pytorch Srgan
A modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-90.31%)
Mutual labels:  gan, super-resolution
mSRGAN-A-GAN-for-single-image-super-resolution-on-high-content-screening-microscopy-images.
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Stars: ✭ 52 (-98.26%)
Mutual labels:  gan, super-resolution
Awesome Gan For Medical Imaging
Awesome GAN for Medical Imaging
Stars: ✭ 1,814 (-39.19%)
Mutual labels:  gan, super-resolution
A Pytorch Tutorial To Super Resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
Stars: ✭ 157 (-94.74%)
Mutual labels:  gan, super-resolution
Awesome Computer Vision
Awesome Resources for Advanced Computer Vision Topics
Stars: ✭ 92 (-96.92%)
Mutual labels:  gan, super-resolution
Esrgan Tf2
ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Stars: ✭ 61 (-97.96%)
Mutual labels:  gan, super-resolution
srgan
Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (-98.69%)
Mutual labels:  gan, super-resolution
Ranksrgan
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
Stars: ✭ 213 (-92.86%)
Mutual labels:  gan, super-resolution
Iseebetter
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
Stars: ✭ 202 (-93.23%)
Mutual labels:  gan, super-resolution
Tensorflow Srgan
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-98.89%)
Mutual labels:  gan, super-resolution
DLSS
Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-97.05%)
Mutual labels:  gan, super-resolution
Srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 2,641 (-11.46%)
Mutual labels:  gan, super-resolution
Paddlegan
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
Stars: ✭ 4,987 (+67.18%)
Mutual labels:  gan, super-resolution
Splice
Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022)
Stars: ✭ 126 (-95.78%)
3d Gan Superresolution
3D super-resolution using Generative Adversarial Networks
Stars: ✭ 97 (-96.75%)
Mutual labels:  gan, super-resolution
TC-YoukuVSRE
天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码,EDVR、WDSR、ESRGAN三个模型。
Stars: ✭ 41 (-98.63%)
Awesome-ICCV2021-Low-Level-Vision
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
Stars: ✭ 163 (-94.54%)
Mutual labels:  gan, super-resolution
Real-ESRGAN-colab
A Real-ESRGAN model trained on a custom dataset
Stars: ✭ 18 (-99.4%)
Mutual labels:  super-resolution
HistoGAN
Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Stars: ✭ 158 (-94.7%)
Mutual labels:  gan
SLE-GAN
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Stars: ✭ 53 (-98.22%)
Mutual labels:  gan
gan-image-similarity
InfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.
Stars: ✭ 111 (-96.28%)
Mutual labels:  gan
traiNNer
traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
Stars: ✭ 130 (-95.64%)
Mutual labels:  super-resolution
RCAN-tf
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Stars: ✭ 25 (-99.16%)
Mutual labels:  super-resolution
SlimGAN
Slimmable Generative Adversarial Networks (AAAI 2021)
Stars: ✭ 20 (-99.33%)
Mutual labels:  gan
ML-Papers-TLDR
A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.
Stars: ✭ 20 (-99.33%)
Mutual labels:  gan
VSGAN
VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
Stars: ✭ 124 (-95.84%)
Mutual labels:  gan
chainer-wasserstein-gan
Chainer implementation of the Wesserstein GAN
Stars: ✭ 20 (-99.33%)
Mutual labels:  gan
MNIST-invert-color
Invert the color of MNIST images with PyTorch
Stars: ✭ 13 (-99.56%)
Mutual labels:  gan
Tensorflow DCGAN
Study Friendly Implementation of DCGAN in Tensorflow
Stars: ✭ 22 (-99.26%)
Mutual labels:  gan
Introduction-to-GAN
Introduction to Generative Adversarial Networks
Stars: ✭ 21 (-99.3%)
Mutual labels:  gan
hifigan-denoiser
HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Stars: ✭ 88 (-97.05%)
Mutual labels:  gan
ADL2019
Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-99.33%)
Mutual labels:  gan
dcgan anime avatars
基于keras使用dcgan自动生成动漫头像
Stars: ✭ 37 (-98.76%)
Mutual labels:  gan
MUST-GAN
Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"
Stars: ✭ 39 (-98.69%)
Mutual labels:  gan
GSOC
Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Stars: ✭ 61 (-97.96%)
Mutual labels:  super-resolution
TMNet
The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".
Stars: ✭ 77 (-97.42%)
Mutual labels:  super-resolution
EigenGAN-Tensorflow
EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
Stars: ✭ 294 (-90.14%)
Mutual labels:  gan
wc-gan
Whitening and Coloring transform for GANs
Stars: ✭ 33 (-98.89%)
Mutual labels:  gan
pytorch-ACSCP
Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
Stars: ✭ 18 (-99.4%)
Mutual labels:  gan
Pytorch-Image-Translation-GANs
Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.
Stars: ✭ 106 (-96.45%)
Mutual labels:  gan
AvatarGAN
Generate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-99.2%)
Mutual labels:  gan
pytorch clip guided loss
A simple library that implements CLIP guided loss in PyTorch.
Stars: ✭ 67 (-97.75%)
Mutual labels:  gan
Inpainting gmcnn
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
Stars: ✭ 256 (-91.42%)
Mutual labels:  gan
DCGAN-CelebA-PyTorch-CPP
DCGAN Implementation using PyTorch in both C++ and Python
Stars: ✭ 14 (-99.53%)
Mutual labels:  gan
TransGAN
This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.
Stars: ✭ 57 (-98.09%)
Mutual labels:  gan
cgan-face-generator
Face generator from sketches using cGAN (pix2pix) model
Stars: ✭ 52 (-98.26%)
Mutual labels:  gan
tensorrt-examples
TensorRT Examples (TensorRT, Jetson Nano, Python, C++)
Stars: ✭ 31 (-98.96%)
Mutual labels:  super-resolution
Course-Project---Speech-Driven-Facial-Animation
ECE 535 - Course Project, Deep Learning Framework
Stars: ✭ 63 (-97.89%)
Mutual labels:  gan
flame
Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation
Stars: ✭ 13 (-99.56%)
Mutual labels:  official
MoveSim
Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility
Stars: ✭ 16 (-99.46%)
Mutual labels:  gan
AsymmetricGAN
[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Stars: ✭ 42 (-98.59%)
Mutual labels:  gan
Unsupervised-Anomaly-Detection-with-Generative-Adversarial-Networks
Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset
Stars: ✭ 95 (-96.82%)
Mutual labels:  gan
Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Stars: ✭ 180 (-93.97%)
Mutual labels:  gan
steam-stylegan2
Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-98.99%)
Mutual labels:  gan
RAMS
Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Stars: ✭ 55 (-98.16%)
Mutual labels:  super-resolution
CS231n
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (-98.99%)
Mutual labels:  gan
Bicubic-interpolation
Bicubic interpolation for images (Python)
Stars: ✭ 88 (-97.05%)
Mutual labels:  super-resolution
UEGAN
[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Stars: ✭ 68 (-97.72%)
Mutual labels:  gan
cocainediesel
OFFICIAL COCAINE DIESEL REPOSITORY
Stars: ✭ 44 (-98.52%)
Mutual labels:  official
srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (-98.12%)
Mutual labels:  super-resolution
1-60 of 571 similar projects