Browse State-of-the-Art › Snow Removal
Snow Removal
18 papers with code · 0 benchmarks · 3 datasets 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
3 datasets 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
18 shown of 18 papers with code (28 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 Jun 2022 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified · 5 pointer-only (licence)Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
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27 Apr 2021 3 repositories listedWe show that by empowering the recurrent framework with the enhanced propagation and alignment, one can exploit spatiotemporal information across misaligned video frames more effectively.
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11 Sep 2023 2 repositories listedIn our experiments, we evaluated the performance of our model on the popular SRRS, SNOW100K, and CSD datasets, respectively.
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10 Oct 2024 1 repository listedSpecifically, we construct a real-world dataset with 85 snowy videos, and then present a Semi-supervised Video Desnowing Network (SemiVDN) equipped by a novel Distribution-driven Contrastive Regularization.
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4 Oct 2024 1 repository listed Syntology ran 7 of 12 samples · 5 unverifiedIn this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing video restoration.
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5 Jul 2024 1 repository listed Syntology ran 7 of 13 samples · 6 unverified · 13 pointer-only (licence)In real-world scenarios, image impairments often manifest as composite degradations, presenting a complex interplay of elements such as low light, haze, rain, and snow.
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25 Jun 2024 1 repository listedImage restoration aims to reconstruct a high-quality image from its corrupted version, playing essential roles in many scenarios.
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27 Nov 2023 1 repository listedMarine snow, the floating particles in underwater images, severely degrades the visibility and performance of human and machine vision systems.
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4 Sep 2023 1 repository listedThe proposed approach first constructs the CRF based on k-nearest neighbors with the snow confidence derived from the physical priors of snow, such as intensity and distribution.
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1 Jan 2023 1 repository listedWe also develop a deep learning framework for video snow removal.
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18 Nov 2022 1 repository listedLiDARs have been widely adopted to modern self-driving vehicles, providing 3D information of the scene and surrounding objects.
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10 Oct 2022 1 repository listedSecondly, we design a Mask Query Transformer (MQFormer) to remove snow with the coarse mask, where we use two parallel encoders and a hybrid decoder to learn extensive snow features under lightweight requirements.
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20 Aug 2022 1 repository listed Syntology ran 6 of 11 samples · 5 unverified · 11 pointer-only (licence)Due to various and complicated snow degradations, single image desnowing is a challenging image restoration task.
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29 Nov 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedWe also introduce a transformer decoder with learnable weather type embeddings to adjust to the weather degradation at hand.
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26 Mar 2021 1 repository listedThis paper introduces a new benchmarking dataset for marine snow removal of underwater images.
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1 Jan 2021 1 repository listedMoreover, due to the limitation of existing snow datasets, to simulate the snow scenarios comprehensively, we propose a large-scale dataset called Comprehensive Snow Dataset (CSD).
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1 Aug 2020 1 repository listedIt can classify snow particles according to their sizes and conduct snow removal in different scales.
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13 Sep 2019 1 repository listedFurthermore, a transformation operator imposed on the background scenes is further embedded into the proposed model, which finely conveys the dynamic background transformations, such as rotations, scalings and…
Syntology lines on 5 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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