Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
翻译 - 该文件的pytorch官方实现：“ SinGAN：从单个自然图像中学习生成模型”
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
翻译 - Tobias Hinz，Matthew Fisher，Oliver Wang和Stefan Wermter的论文“改进的用于训练单图像GAN的技术”的正式实施
Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)
Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"
CVPR 2021 Oral Paper PatchGenCN
Official repository of "PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis", ACM MM 2022
Students Project at the Technion for generating natural looking images from a single image, using deep features of VGG19 and a hierarchical architecture based on SinGAN
Implemented basic deep learning models using PyTorch