43 skills found · Page 1 of 2
NVlabs / Stylegan3Official PyTorch implementation of StyleGAN3
POSTECH-CVLab / PyTorch StudioGANStudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
yuval-alaluf / Stylegan3 EditingOfficial Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433
justinpinkney / Awesome Pretrained Stylegan3A collection of pretrained models for StyleGAN3
ouhenio / StyleGAN3 CLIP NotebooksA collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
NVlabs / Stylegan3 DetectorNo description available
MingtaoGuo / DragGAN PytorchUnofficial implementation of DragGAN with StyleGAN2/3 pretrained models
Tejas-Nanaware / GAN Anime CharactersCreating Anime Faces using Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN, StyleGAN, StyleGAN2 and StyleGAN3. Top repos on GitHub for AnimeFace GAN Generative AI Models
MingtaoGuo / Face Attribute Editing StyleGAN3Face editing by e4e, text2stylegan,interfacegan,ganspace
nampyohong / Stylegan3 Encoderstylegan3 encoder for image inversion
rohit7044 / 3D GANTex3DGANTex: 3D Face Reconstruction with StyleGAN3-based Texture Synthesis from Multi-View Images
dayu1979 / Stylegan3encoderNo description available
Sxela / Stylegan3 Blendingstylegan3_blending
edstoica / Lucid Stylegan3 Datasets Modelsartistic stylegan3 datasets and models we created during our ongoing stylegan3 trip.
VinAIResearch / CREPSEfficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis (CVPR 2023)
syguan96 / Image2StyleGAN3Inverse an image to the latent space of StyleGAN3
remote-startup-senpai / Stylegan3 Anime Faces GeneratorAnime face generator StyleGAN3 model
ttop32 / ArcaneAnimeGANAnimeGAN2 trained on Arcane
zhaowenhai2023 / Wind Turbine Blade Surface Defect DatasetThis dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. The dataset is generated by fusing StyleGAN3 deep learning model and PBGM method, and the generated leaf dataset can be used for vision based defect recognition training.
spacepxl / ComfyUI StyleGanBasic support for StyleGAN2 and StyleGAN3 models
