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DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Projecting images to latent space with StyleGAN2.
edit your image for age, gender, pose, smile or glasses. This repository explains style-gan and how to play around with facial images.
Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)
Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
PyTorch implementation of A Style-Based Generator Architecture for Generative Adversarial Network
Unofficial Pytorch implementation of Style GAN paper
Official and maintained implementation of the paper "Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy" [MICCAI 2021].
Train a StyleGAN model on Colaboratory to generate Steam banners.
Official Implementation of "StylePrompter: All Styles Need Is Attention" [ACM MM 2023]
A implementation of StyleGAN and evaluation over a simple class generation using FID score.
Implementation of the Style GAN Architecture in PyTorch
Creating a dataset of varied celestial objects to get a broader perspective of Universe.
Sem 5 - Minor 1 - Projectno. 36 - JUET, Guna