Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
-
Updated
May 26, 2023 - Python
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
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
Implemented basic deep learning models using PyTorch
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
Add a description, image, and links to the single-image-generation topic page so that developers can more easily learn about it.
To associate your repository with the single-image-generation topic, visit your repo's landing page and select "manage topics."