Optimal transport-based unsupervised semantic disentanglement: A novel approach for efficient image editing in GANs
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
Generalizing Factorization of GANs by Characterizing Convolutional Layers
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Scatterbrain: Unifying Sparse and Low-rank Attention Approximation
DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations
CDM: Cascaded Diffusion Models for High Fidelity Image Generation
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
Network-to-Network Translation with Conditional Invertible Neural Networks
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
A U-Net Based Discriminator for Generative Adversarial Networks
MineGAN: effective knowledge transfer from GANs to target domains with few images
BigGAN: Large Scale GAN Training for High Fidelity Natural Image Synthesis § 4.2 Characterizing Instability: The Discriminator
Improved Precision and Recall Metric for Assessing Generative Models
Large Scale GAN Training for High Fidelity Natural Image Synthesis
BigGAN: Large Scale GAN Training For High Fidelity Natural Image Synthesis § 5.2 Additional Evaluation On JFT-300M
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Generate Amazing Anime Pictures With BigGAN. Just Have Fun
BigGAN-PyTorch: The Author’s Officially Unofficial PyTorch BigGAN Implementation
Pytorch Implementation of ‘Large Scale GAN Training For High Fidelity Natural Image Synthesis’ (BigGAN)
Simple Tensorflow Implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)
Simple Tensorflow Implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
2020-10-24-gwern-biggan-256px-danbooruplus-run39-highcwu-interpolation.mp4
2020-05-15-gwern-biggan-256px-danbooruplus-run39-90randomemasamples.jpg
2020-05-15-gwern-biggan-256px-danbooruplus-run39-randomsample.jpg
2019-05-27-gwern-biggan-imagenetdanboorutransferlearning.mp4
https://www.reddit.com/r/SpiceandWolf/comments/bx764z/im_sorry_i_had_to/
Optimal transport-based unsupervised semantic disentanglement: A novel approach for efficient image editing in GANs
%252Fdoc%252Fai%252Fanime%252Fdanbooru%252F2023-liu-4.pdf.html
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
https%253A%252F%252Farxiv.org%252Fabs%252F2301.12811%2523sony.html
Generalizing Factorization of GANs by Characterizing Convolutional Layers
%252Fdoc%252Fai%252Fnn%252Fgan%252Fbiggan%252F2022-wang-2.pdf.html
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Scatterbrain: Unifying Sparse and Low-rank Attention Approximation
https%253A%252F%252Farxiv.org%252Fabs%252F2110.15343%2523facebook.html
CDM: Cascaded Diffusion Models for High Fidelity Image Generation
https%253A%252F%252Fcascaded-diffusion.github.io%252F.html
https%253A%252F%252Farxiv.org%252Fabs%252F2105.05233%2523openai.html
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search
Network-to-Network Translation with Conditional Invertible Neural Networks
https%253A%252F%252Fpapers.nips.cc%252Fpaper%252F2020%252Ffile%252F1cfa81af29c6f2d8cacb44921722e753-Paper.pdf.html
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
A U-Net Based Discriminator for Generative Adversarial Networks
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