Browse State-of-the-Art › Perceptual Distance
Perceptual Distance
11 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (33 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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2 Aug 2018 7 repositories listedOur model takes the encoded content features extracted from a given input and the attribute vectors sampled from the attribute space to produce diverse outputs at test time.
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10 Nov 2021 5 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)We expect this standardized evaluation protocol to play a role in advancing image-to-image translation research.
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2 May 2019 4 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedIn this work, we present an approach based on disentangled representation for generating diverse outputs without paired training images.
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22 Jun 2020 2 repositories listed Syntology ran 11 of 14 samples · 3 unverified · 2 pointer-only (licence)We call this threat model the neural perceptual threat model (NPTM); it includes adversarial examples with a bounded neural perceptual distance (a neural network-based approximation of the true perceptual distance) to…
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14 Jan 2024 1 repository listedWe propose an end-to-end learned image compression codec wherein the analysis transform is jointly trained with an object classification task.
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31 Oct 2023 1 repository listedThrough extensive experimental evaluation on different word-level and line-level datasets of handwritten text images, we demonstrate the suitability of the proposed HWD as a score for Styled HTG.
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21 Oct 2023 1 repository listedDeep neural networks are known to be vulnerable to adversarial perturbations.
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1 Jan 2023 1 repository listedRecent studies have investigated how to achieve robustness for unsupervised domain adaptation (UDA).
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7 Apr 2021 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedWe thus impose a perturbation on a certain dimension of the latent code, and expect to identify the perturbation along this dimension from the generated images so that the encoding of simple variations can be enforced.
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21 Jul 2020 1 repository listedConstructing adversarial examples in a black-box threat model injures the original images by introducing visual distortion.
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13 Mar 2017 1 repository listedGuetzli is a new JPEG encoder that aims to produce visually indistinguishable images at a lower bit-rate than other common JPEG encoders.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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