Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.
-
Updated
Aug 10, 2018 - Python
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.
Implementation of Perceptual Generative Autoencoders in PyTorch
PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."
Tensorflow keras GAN
DCGAN implementation using PyTorch
패치 기반 딥페이크 영상 검출에 관한 연구
Deep Learning for Computer Vision 2018 Spring
Face generation with DCGAN and SNGAN on CelebA dataset
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks" - (EASY to READ)
This repository contains the code, models and corpus of the project "Generative Adversarial Networks for Text-to-Image Synthesis & Generation: A Comparative Analysis of Natural Language Processing models for the Spanish language".
Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)
ProtoNet for Few-Shot Learning in TensorFlow2 and Applications
Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
Consistency and Accuracy analysis on CelebA
📷 This project presents functionality for applying medical masks to face images.
A Variational Autoencoder in PyTorch for the CelebA Dataset
[CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks
Add a description, image, and links to the celeba-dataset topic page so that developers can more easily learn about it.
To associate your repository with the celeba-dataset topic, visit your repo's landing page and select "manage topics."