“‘BigGAN’ Tag”,2019-12-23 (StyleGAN, Transformer, AI scaling)⁠:

Bibliography for tag ai/nn/gan/biggan, most recent first: 1 related tag, 44 annotations, & 22 links (parent).

[essay on this tag topic]

• See Also
• Gwern
  • “Making Anime With BigGAN”, Gwern2019
  • “Anime Neural Net Graveyard”, Gwern2019
• Links
  • “Optimal Transport-Based Unsupervised Semantic Disentanglement: A Novel Approach for Efficient Image Editing in GANs”, Liu et al 2023d
  • “Diffusion Models Beat GANs on Image Classification”, Mukhopadhyay et al 2023
  • “Rosetta Neurons: Mining the Common Units in a Model Zoo”, Dravid et al 2023
  • “Exposing Flaws of Generative Model Evaluation Metrics and Their Unfair Treatment of Diffusion Models”, Stein et al 2023
  • “Generalizable Synthetic Image Detection via Language-Guided Contrastive Learning”, Wu et al 2023
  • “KD-DLGAN: Data Limited Image Generation via Knowledge Distillation”, Cui et al 2023
  • “SAN: Inducing Metrizability of GAN With Discriminative Normalized Linear Layer”, Takida et al 2023
  • “Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Wang et al 2022b
  • “PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression”, Vo et al 2022
  • “Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values”, Humayun et al 2022
  • “BigDatasetGAN: Synthesizing ImageNet With Pixel-Wise Annotations”, Li et al 2022
  • “Scatterbrain: Unifying Sparse and Low-Rank Attention Approximation”, Chen et al 2021
  • “Telling Creative Stories Using Generative Visual Aids”, Ali & Parikh2021
  • “DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations”, Li et al 2021b
  • “CDM: Cascaded Diffusion Models for High Fidelity Image Generation”, Ho et al 2021
  • “Diffusion Models Beat GANs on Image Synthesis”, Dhariwal & Nichol2021
  • “MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Wang et al 2021
  • “Generating Images from Caption and vice Versa via CLIP-Guided Generative Latent Space Search”, Galatolo et al 2021
  • “Data Instance Prior for Transfer Learning in GANs”, Mangla et al 2020
  • “Network-To-Network Translation With Conditional Invertible Neural Networks”, Rombach et al 2020
  • “SMYRF: Efficient Attention Using Asymmetric Clustering”, Daras et al 2020
  • “Not-So-BigGAN: Generating High-Fidelity Images on Small Compute With Wavelet-Based Super-Resolution”, Han et al 2020
  • “GANSpace: Discovering Interpretable GAN Controls”, Härkönen et al 2020
  • “Evolving Normalization-Activation Layers”, Liu et al 2020
  • “A U-Net Based Discriminator for Generative Adversarial Networks”, Schönfeld et al 2020
  • “Improved Consistency Regularization for GANs”, Zhao et al 2020
  • “MineGAN: Effective Knowledge Transfer from GANs to Target Domains With Few Images”, Wang et al 2019
  • “Detecting GAN Generated Errors”, Zhu et al 2019
  • “Artbreeder”, Simon2019
  • “BigGAN: Large Scale GAN Training for High Fidelity Natural Image Synthesis § 4.2 Characterizing Instability: The Discriminator”, Brock et al 2019 (page 6 org deepmind)
  • “Large Scale Adversarial Representation Learning”, Donahue & Simonyan2019
  • “Improved Precision and Recall Metric for Assessing Generative Models”, Kynkäänniemi et al 2019
  • “Discriminator Rejection Sampling”, Azadi et al 2018
  • “Large Scale GAN Training for High Fidelity Natural Image Synthesis”, Brock et al 2018
  • “BigGAN: Large Scale GAN Training For High Fidelity Natural Image Synthesis § 5.2 Additional Evaluation On JFT-300M”, Brock et al 2018 (page 8 org deepmind)
  • “The Unusual Effectiveness of Averaging in GAN Training”, Yazıcı et al 2018
  • “Self-Attention Generative Adversarial Networks”, Zhang et al 2018
  • “Spectral Norm Regularization for Improving the Generalizability of Deep Learning”, Yoshida & Miyato2017
  • “Generate Amazing Anime Pictures With BigGAN. Just Have Fun”
  • “BigGAN-PyTorch: The Author’s Officially Unofficial PyTorch BigGAN Implementation”
  • “Compare GAN Code”
  • “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)”
  • Sort By Magic
    • generator-optimization
    • knowledge-transfer
    • gan-metrics
• Miscellaneous
• Bibliography