Browse State-of-the-Art › image smoothing
image smoothing
20 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
20 shown of 20 papers with code (45 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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5 Oct 2019 5 repositories listed Syntology ran 0 of 20 samples · 20 unverifiedThis work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.
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1 May 2022 2 repositories listedIt has 1500 image pairs.
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28 May 2025 1 repository listedMedian filtering is a cornerstone of computational image processing.
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5 Oct 2023 1 repository listedHowever, the presence of speckle noise in ultrasound images invariably degrades image quality, impeding the performance of subsequent tasks, such as segmentation and classification.
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1 Mar 2023 1 repository listedHowever, estimating object rotation with respect to other visual objects in the visual context of an input image still lacks deep studies due to the unavailability of object datasets with rotation annotations.
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6 Jan 2023 1 repository listedIn this paper, we aim to segment an image degraded by blur and Poisson noise.
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2 Sep 2022 1 repository listedImage smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details.
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1 May 2022 1 repository listedAugStatic is a custom-built image augmentation library with lower computation costs and more extraordinary salient features compared to other image augmentation libraries.
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1 May 2022 1 repository listedThis paper focuses on the image dataset generator that balances an imbalanced dataset using the AugStatic augmentation library.
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15 Jul 2021 1 repository listedThe effectiveness and superior performance of our approach are validated through comprehensive experiments in a range of applications.
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27 Nov 2020 1 repository listedWe introduce a bottom-up model for simultaneously finding many boundary elements in an image, including contours, corners and junctions.
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19 Nov 2020 1 repository listedIn this paper we present a review of the Kornia differentiable data augmentation (DDA) module for both for spatial (2D) and volumetric (3D) tensors.
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16 Jun 2020 1 repository listedAs additional measure that helps to discriminate the types of boundaries inverted gradient values were used.
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12 Jan 2020 1 repository listedMost deep image smoothing operators are always trained repetitively when different explicit structure-texture pairs are employed as label images for each algorithm configured with different parameters.
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23 Jul 2019 1 repository listedIn this paper, a non-convex non-smooth optimization framework is proposed to achieve diverse smoothing natures where even contradictive smoothing behaviors can be achieved.
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17 May 2019 1 repository listedIn addition to image filtering, we further show that the SWF principle can be extended to other applications involving the use of a local window.
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2 Apr 2019 1 repository listedThis benchmark includes an image dataset with groundtruth image smoothing results as well as baseline algorithms that can generate competitive edge-preserving smoothing results for a wide range of image contents.
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7 Nov 2018 1 repository listedImage smoothing represents a fundamental component of many disparate computer vision and graphics applications.
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21 Jul 2018 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)Many different deep networks have been used to approximate, accelerate or improve traditional image operators, such as image smoothing, super-resolution and denoising.
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11 Aug 2017 1 repository listedThis paper proposes a deep neural network structure that exploits edge information in addressing representative low-level vision tasks such as layer separation and image filtering.
Syntology lines on 2 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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