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StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

biggan pytorch clean-fid stylegan2 stylegan3 deep-learning stylegan2-ada machine-learning data-efficient-gan-training generative-adversarial-network

Created 2020-06-19

1,588 commits to master branch, last one 10 months ago

stylegan3-editing yuval-alaluf

74

647

mit

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Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.13433

stylegan stylegan3 image-editing stylegan-encoder generative-adversarial-network

Created 2022-01-31

12 commits to main branch, last one about a year ago

StyleGAN3-CLIP-notebooks ouhenio

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205

unknown

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A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

clip stylegan stylegan3 google-colab image-generation

Created 2021-10-13

18 commits to main branch, last one 2 years ago

DragGAN_pytorch MingtaoGuo

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93

mit

4

Unofficial implementation of DragGAN with StyleGAN2/3 pretrained models

gans draggan stylegan2 stylegan3 image-editing

Created 2023-05-23

41 commits to main branch, last one about a year ago

CREPS VinAIResearch

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gpl-3.0

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Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis (CVPR 2023)

stylegan3 scale-invariance generative-adversarial-network implicit-neural-representation

Created 2023-03-23

32 commits to main branch, last one 10 months ago