Methods › Computer Vision › Generative Adversarial Networks › SAGAN
Self-Attention GAN
SAGAN
Introduced by Han Zhang et al. in Self-Attention Generative Adversarial Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The Self-Attention Generative Adversarial Network, or SAGAN, allows for attention-driven, long-range dependency modeling for image generation tasks. Traditional convolutional GANs generate high-resolution details as a function of only spatially local points in lower-resolution feature maps. In SAGAN, details can be generated using cues from all feature locations. Moreover, the discriminator can check that highly detailed features in distant portions of the image are consistent with each other.
Papers archive 2025-07-28
30 shown of 138, 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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Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image 21 May 2024 · 1 repository · arXiv:2405.12872
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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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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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Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning 7 Mar 2023 · 1 repository · arXiv:2303.08046
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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
Tasks archive 2025-07-28
20 shown of 144 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