Browse State-of-the-Art › Colorization
Colorization
177 papers with code · 2 benchmarks · 8 datasets archive 2025-07-28
Colorization is the process of adding plausible color information to monochrome photographs or videos. Colorization is a highly undetermined problem, requiring mapping a real-valued luminance image to a three-dimensional color-valued one, that has not a unique solution.
Source: ChromaGAN: An Adversarial Approach for Picture Colorization
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| ImageNet val (4 rows) | Palette | Palette: Image-to-Image Diffusion Models | code | Syntology ran 2 of 3 samples · 1 unverified | Compare |
| ImageNet ctest10k (1 row) | Palette | Palette: Image-to-Image Diffusion Models | code | Syntology ran 2 of 3 samples · 1 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
8 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
3 subtasks in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 177 papers with code (367 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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21 Nov 2016 192 repositories listed Syntology ran 14 of 122 samples · 108 unverified · 1 pointer-only (licence)We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.
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28 Mar 2016 39 repositories listed Syntology ran 32 of 73 samples · 41 unverified · 41 pointer-only (licence)We embrace the underlying uncertainty of the problem by posing it as a classification task and use class-rebalancing at training time to increase the diversity of colors in the result.
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9 Dec 2017 16 repositories listedWe review some of the most recent approaches to colorize gray-scale images using deep learning methods.
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2 Mar 2023 15 repositories listed Syntology ran 28 of 57 samples · 29 unverified · 8 pointer-only (licence)Through extensive experiments, we demonstrate that they outperform existing distillation techniques for diffusion models in one- and few-step sampling, achieving the new state-of-the-art FID of 3.
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26 Nov 2020 15 repositories listed Syntology ran 15 of 23 samples · 8 unverified · 4 pointer-only (licence)Combined with multiple architectural improvements, we achieve record-breaking performance for unconditional image generation on CIFAR-10 with an Inception score of 9.
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28 Dec 2020 7 repositories listedFurthermore, the joint intensity-gradient constraint in data-fidelity term is proposed to limit the degree of freedom within generative model at the iterative colorization stage, and it is conducive to edge-preserving.
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4 Jul 2019 7 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)We demonstrate these properties for the tasks of MNIST digit generation and image colorization.
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14 Mar 2018 7 repositories listedOver the last decade, the process of automatic image colorization has been of significant interest for several application areas including restoration of aged or degraded images.
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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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3 Oct 2024 4 repositories listedImage-to-image translation is a topic in computer vision that has a vast range of use cases ranging from medical image translation, such as converting MRI scans to CT scans or to other MRI contrasts, to image…
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9 Dec 2022 4 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedFirstly, we construct a pretext task, \textit{i.
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1 Dec 2022 4 repositories listed Syntology ran 12 of 23 samples · 11 unverifiedMost existing Image Restoration (IR) models are task-specific, which can not be generalized to different degradation operators.
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9 Jul 2021 4 repositories listedUnsupervised deep learning has recently demonstrated the promise of producing high-quality samples.
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17 Nov 2019 4 repositories listedBeing natural, touchless, and fun-embracing, language-based inputs have been demonstrated effective for various tasks from image generation to literacy education for children.
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4 Aug 2019 4 repositories listed Syntology ran 0 of 10 samples · 10 unverifiedWe present a fully automatic approach to video colorization with self-regularization and diversity.
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23 Jul 2019 4 repositories listedIn this paper, we propose an adversarial learning colorization approach coupled with semantic information.
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14 Feb 2018 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Multiple modalities often co-occur when describing natural phenomena.
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27 Sep 2023 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 2 pointer-only (licence)Each dimension is quantized to a small set of fixed values, leading to an (implicit) codebook given by the product of these sets.
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4 Jul 2021 3 repositories listedDeep neural networks for automatic image colorization often suffer from the color-bleeding artifact, a problematic color spreading near the boundaries between adjacent objects.
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15 Jun 2021 3 repositories listed Syntology ran 2 of 9 samples · 7 unverifiedIn this paper, we present a fast exemplar-based image colorization approach using color embeddings named Color2Embed.
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13 Apr 2021 3 repositories listedAt each level of the pyramid, our method warps the reference image using the estimated warping information map from the previous level so that we can learn a much more compact 3-D weight volume for colorization.
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1 Jun 2019 3 repositories listedDespite recent advancements in deep learning-based automatic colorization, they are still limited when it comes to few-shot learning.
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21 Apr 2019 3 repositories listedThis paper proposes a method to colorize line art frames in an adversarial setting, to create temporally coherent video of large anime by improving existing image to image translation methods.
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8 May 2017 3 repositories listedThe system directly maps a grayscale image, along with sparse, local user "hints" to an output colorization with a Convolutional Neural Network (CNN).
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1 Jul 2016 3 repositories listedWe present a novel technique to automatically colorize grayscale images that combines both global priors and local image features.
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22 Mar 2016 3 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedThis intermediate output can be used to automatically generate a color image, or further manipulated prior to image formation.
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10 Nov 2015 3 repositories listedWe present the bilateral solver, a novel algorithm for edge-aware smoothing that combines the flexibility and speed of simple filtering approaches with the accuracy of domain-specific optimization algorithms.
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9 Apr 2025 2 repositories listedTo address this limitation, we conduct an in-depth analysis of the \textbf{carrier}, defined as the latent representation facilitating information transfer from reference to sketch.
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27 Feb 2025 2 repositories listedTo address these limitations, we propose a diffusion-based framework inspired by real-world animation production workflows.
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12 Dec 2024 2 repositories listedLinear transform coding and end-to-end learned compression systems reduce bitrate, but do not uniformly reduce dimensionality; thus, they do not meaningfully increase efficiency.
Syntology lines on 13 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.
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