C++ Implementation of PyTorch Tutorials for Everyone
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Updated
May 6, 2024 - C++
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
C++ Implementation of PyTorch Tutorials for Everyone
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
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
Controllable Hair Editing (ECCV 2022)
Unofficial implementation of StyleGAN's generator
A Caffe/C++ implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
A MNIST GAN implemented from scratch in C++
Example-based Image Synthesis
Real-time artistic style transfer for android using caffe2 framework
Released June 10, 2014