Methods › Computer Vision › Generative Adversarial Networks › LSGAN
LSGAN
Introduced by Xudong Mao et al. in Least Squares Generative Adversarial Networks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
LSGAN, or Least Squares GAN, is a type of generative adversarial network that adopts the least squares loss function for the discriminator. Minimizing the objective function of LSGAN yields minimizing the Pearson χ² divergence. The objective function can be defined as:
min_DV_(LSGAN)(D) = 1/2𝔼_(𝐱 ∼p_(data)(𝐱))[(D(𝐱) - b)²] + 1/2𝔼_(𝐳∼p_𝐳(𝐳))[(D(G(𝐳)) - a)²]
min_GV_(LSGAN)(G) = 1/2𝔼_(𝐳 ∼p_𝐳(𝐳))[(D(G(𝐳)) - c)²]
where a and b are the labels for fake data and real data and c denotes the value that G wants D to believe for fake data.
Papers archive 2025-07-28
18 shown of 18, 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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Low-light Enhancement Method Based on Attention Map Net 19 Aug 2022 · 0 repositories · arXiv:2208.09330
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GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs 13 Dec 2021 · 1 repository · arXiv:2112.06431
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Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey 26 Nov 2021 · 0 repositories · arXiv:2111.13282
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A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection 31 Mar 2021 · 1 repository · arXiv:2103.17195Syntology ran 0 of 8 samples · 8 unverified
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Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN 26 Mar 2021 · 0 repositories · arXiv:2103.14245
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PriorGAN: Real Data Prior for Generative Adversarial Nets 30 Jun 2020 · 1 repository · arXiv:2006.16990
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Towards a Neural Graphics Pipeline for Controllable Image Generation 18 Jun 2020 · 0 repositories · arXiv:2006.10569
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FastSpeech 2: Fast and High-Quality End-to-End Text to Speech 8 Jun 2020 · 37 repositories · arXiv:2006.04558Syntology ran 73 of 119 samples · 46 unverified · 33 pointer-only (licence)
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Least $k$th-Order and Rényi Generative Adversarial Networks 3 Jun 2020 · 0 repositories · arXiv:2006.02479
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Identity-Preserving Realistic Talking Face Generation 25 May 2020 · 0 repositories · arXiv:2005.12318
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A Study into Echocardiography View Conversion 5 Dec 2019 · 1 repository · arXiv:1912.03120
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RankGAN: A Maximum Margin Ranking GAN for Generating Faces 19 Dec 2018 · 1 repository · arXiv:1812.08196
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GANs beyond divergence minimization 6 Sep 2018 · 1 repository · arXiv:1809.02145
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The relativistic discriminator: a key element missing from standard GAN 2 Jul 2018 · 10 repositories · arXiv:1807.00734Syntology ran 1 of 9 samples · 8 unverified · 2 pointer-only (licence)
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Tempered Adversarial Networks 12 Feb 2018 · 0 repositories · arXiv:1802.04374
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On the Effectiveness of Least Squares Generative Adversarial Networks 18 Dec 2017 · 3 repositories · arXiv:1712.06391Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
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Deep Generative Adversarial Networks for Compressed Sensing Automates MRI 31 May 2017 · 2 repositories · arXiv:1706.00051
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Least Squares Generative Adversarial Networks 13 Nov 2016 · 24 repositories · arXiv:1611.04076Syntology ran 5 of 9 samples · 4 unverified
Tasks archive 2025-07-28
20 shown of 27 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
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