Methods › Computer Vision › Generative Adversarial Networks › BigGAN
BigGAN
Introduced by Andrew Brock et al. in Large Scale GAN Training for High Fidelity Natural Image Synthesis
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
BigGAN is a type of generative adversarial network that was designed for scaling generation to high-resolution, high-fidelity images. It includes a number of incremental changes and innovations. The baseline and incremental changes are:
- Using SAGAN as a baseline with spectral norm. for G and D, and using TTUR.
- Using a Hinge Loss GAN objective
- Using class-conditional batch normalization to provide class information to G (but with linear projection not MLP.
- Using a projection discriminator for D to provide class information to D.
- Evaluating with EWMA of G's weights, similar to ProGANs.
The innovations are:
- Increasing batch sizes, which has a big effect on the Inception Score of the model.
- Increasing the width in each layer leads to a further Inception Score improvement.
- Adding skip connections from the latent variable z to further layers helps performance.
- A new variant of Orthogonal Regularization.
Papers archive 2025-07-28
30 shown of 103, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks 6 Nov 2024 · 0 repositories · arXiv:2411.03999
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Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization 27 Oct 2024 · 1 repository · arXiv:2410.20573
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On quantifying and improving realism of images generated with diffusion 26 Sep 2023 · 0 repositories · arXiv:2309.14756
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Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows 21 Sep 2023 · 0 repositories
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A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory 27 Jul 2023 · 2 repositories · arXiv:2307.14732
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Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation 22 Jul 2023 · 1 repository · arXiv:2307.16875
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Diffusion Models Beat GANs on Image Classification 17 Jul 2023 · 1 repository · arXiv:2307.08702
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Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs 28 Jun 2023 · 0 repositories · arXiv:2306.15903
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Rosetta Neurons: Mining the Common Units in a Model Zoo 15 Jun 2023 · 0 repositories · arXiv:2306.09346
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Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation 8 Jun 2023 · 0 repositories · arXiv:2306.05255
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FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator 7 Jun 2023 · 0 repositories · arXiv:2306.07936
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Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning 29 May 2023 · 0 repositories · arXiv:2305.17886
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Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? 27 May 2023 · 1 repository · arXiv:2305.17352Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
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Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations 22 May 2023 · 0 repositories · arXiv:2305.13030
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An Empirical Study on Google Research Football Multi-agent Scenarios 16 May 2023 · 1 repository · arXiv:2305.09458
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The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation 5 May 2023 · 1 repository · arXiv:2305.03369
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TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation 26 Apr 2023 · 2 repositories · arXiv:2304.13742Syntology ran 9 of 19 samples · 10 unverified · 1 pointer-only (licence)
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SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes 11 Apr 2023 · 1 repository · arXiv:2304.05170
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VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views 10 Apr 2023 · 1 repository · arXiv:2304.04617
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Towards Active Learning for Action Spotting in Association Football Videos 9 Apr 2023 · 0 repositories · arXiv:2304.04220
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Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football 25 Mar 2023 · 0 repositories · arXiv:2303.15471
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Deep Generative Multi-Agent Imitation Model as a Computational Benchmark for Evaluating Human Performance in Complex Interactive Tasks: A Case Study in Football 23 Mar 2023 · 0 repositories · arXiv:2303.13323
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High Fidelity Image Synthesis With Deep VAEs In Latent Space 23 Mar 2023 · 2 repositories · arXiv:2303.13714Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
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Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images 13 Mar 2023 · 0 repositories · arXiv:2303.07274
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NFL Career Success as Predicted by NFL Scouting Combine 10 Mar 2023 · 1 repository · arXiv:2303.05774
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Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns 25 Feb 2023 · 0 repositories · arXiv:2302.14058
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Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis 18 Feb 2023 · 1 repository · arXiv:2302.09276
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TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play 15 Feb 2023 · 1 repository · arXiv:2302.07515
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Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations 13 Feb 2023 · 0 repositories · arXiv:2302.06569
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Order Matters: Agent-by-agent Policy Optimization 13 Feb 2023 · 1 repository · arXiv:2302.06205Syntology ran 2 of 4 samples · 2 unverified
Tasks archive 2025-07-28
20 shown of 128 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections