Methods › Computer Vision › Generative Models › DCGAN › Papers where code ran, page 1
Deep Convolutional GAN
DCGAN
Papers archive 2025-07-28
archive papers tagged: 82 · with a code link: 36 · where Syntology ran a sample: 12 (10 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (12 of 82 tagged: 10 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 12 of the 12 tagged papers where Syntology ran at least one harvested sample (10 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training 12 May 2023 · 2 repositories · arXiv:2305.07613Syntology official (archive's flag): 2 ran · 2 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Membership Inference Attacks against Diffusion Models 7 Feb 2023 · 1 repository · arXiv:2302.03262Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 5 where Syntology's instrument failed) · 3 unverified (of 14 harvested samples) · 2 pointer-only (licence)
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A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection 31 Mar 2021 · 1 repository · arXiv:2103.17195Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 8 harvested samples)
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A New Perspective on Stabilizing GANs training: Direct Adversarial Training 19 Aug 2020 · 1 repository · arXiv:2008.09041Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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LOGAN: Latent Optimisation for Generative Adversarial Networks 2 Dec 2019 · 1 repository · arXiv:1912.00953Syntology 5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples) · 2 pointer-only (licence)
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RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis 27 Sep 2019 · 2 repositories · arXiv:1909.12573Syntology 6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 2 pointer-only (licence)
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Improving MMD-GAN Training with Repulsive Loss Function 24 Dec 2018 · 1 repository · arXiv:1812.09916Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples)
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Metropolis-Hastings Generative Adversarial Networks 28 Nov 2018 · 4 repositories · arXiv:1811.11357Syntology official (archive's flag): 2 ran · 6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 2 honoured, 1 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified (of 10 harvested samples) · 3 pointer-only (licence)
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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution 9 Jul 2018 · 24 repositories · arXiv:1807.03247Syntology community repositories only · 5 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
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Adversarial Audio Synthesis 12 Feb 2018 · 22 repositories · arXiv:1802.04208Syntology community repositories only · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium 26 Jun 2017 · 71 repositories · arXiv:1706.08500Syntology official (archive's flag): 1 ran · 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 1 pointer-only (licence)
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 19 Nov 2015 · 258 repositories · arXiv:1511.06434Syntology 128 ran (of which 61 constructed an object rather than computing a result; 111 with no instrument failure: 3 honoured, 0 violated, 108 with no contract checked; 17 where Syntology's instrument failed) · 91 unverified (of 219 harvested samples) · 111 pointer-only (licence)