Data Efficient Gans
mit-han-lab
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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Results: 18
mit-han-lab
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
amanchadha
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published inβ¦
mit-han-lab
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
labmlai
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adβ¦
Blade6570
ICface: Interpretable and Controllable Face Reenactment Using GANs
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
pathak22
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
yiranran
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
jolibrain
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
hollobit
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
tohinz
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
keonlee9420
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
proceduralia
GANs for time series generation in pytorch
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