Denoising

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 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.

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

23 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

6 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 2,838 papers with code (7,282 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.

• Denoising Diffusion Probabilistic Models
  19 Jun 2020 70 repositories listed Syntology ran 178 of 253 samples · 75 unverified · 62 pointer-only (licence)
  We present high quality image synthesis results using diffusion probabilistic models, a class of latent variable models inspired by considerations from nonequilibrium thermodynamics.
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
  29 Oct 2019 47 repositories listed Syntology ran 22 of 53 samples · 31 unverified · 7 pointer-only (licence)
  We evaluate a number of noising approaches, finding the best performance by both randomly shuffling the order of the original sentences and using a novel in-filling scheme, where spans of text are replaced with a single…
• High-Resolution Image Synthesis with Latent Diffusion Models
  20 Dec 2021 41 repositories listed Syntology ran 19 of 28 samples · 9 unverified · 5 pointer-only (licence)
  By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond.
• Denoising Diffusion Implicit Models
  6 Oct 2020 29 repositories listed Syntology ran 28 of 50 samples · 22 unverified · 5 pointer-only (licence)
  Denoising diffusion probabilistic models (DDPMs) have achieved high quality image generation without adversarial training, yet they require simulating a Markov chain for many steps to produce a sample.
• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
  13 Aug 2016 22 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.
• Noise2Noise: Learning Image Restoration without Clean Data
  12 Mar 2018 21 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 1 pointer-only (licence)
  We apply basic statistical reasoning to signal reconstruction by machine learning -- learning to map corrupted observations to clean signals -- with a simple and powerful conclusion: it is possible to learn to restore…
• Learning to See in the Dark
  4 May 2018 19 repositories listed Syntology ran 1 of 14 samples · 13 unverified · 2 pointer-only (licence)
  Imaging in low light is challenging due to low photon count and low SNR.
• Improved Denoising Diffusion Probabilistic Models
  18 Feb 2021 18 repositories listed Syntology ran 9 of 11 samples · 2 unverified
  Denoising diffusion probabilistic models (DDPM) are a class of generative models which have recently been shown to produce excellent samples.
• Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
  29 Jun 2016 17 repositories listed
  In this work, we propose a very deep fully convolutional auto-encoder network for image restoration, which is a encoding-decoding framework with symmetric convolutional-deconvolutional layers.
• Deep Image Prior
  29 Nov 2017 14 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any learning.
• Simple Baselines for Image Restoration
  10 Apr 2022 13 repositories listed Syntology ran 23 of 30 samples · 7 unverified · 17 pointer-only (licence)
  Although there have been significant advances in the field of image restoration recently, the system complexity of the state-of-the-art (SOTA) methods is increasing as well, which may hinder the convenient analysis and…
• Restormer: Efficient Transformer for High-Resolution Image Restoration
  18 Nov 2021 13 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks.
• Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
  8 Jan 2021 12 repositories listed Syntology ran 12 of 13 samples · 1 unverified · 7 pointer-only (licence)
  In this paper, we present a very simple yet effective method named Neighbor2Neighbor to train an effective image denoising model with only noisy images.
• Learning Enriched Features for Real Image Restoration and Enhancement
  15 Mar 2020 12 repositories listed Syntology ran 3 of 20 samples · 17 unverified · 3 pointer-only (licence)
  With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.
• Pseudo Numerical Methods for Diffusion Models on Manifolds
  20 Feb 2022 9 repositories listed Syntology ran 10 of 14 samples · 4 unverified · 2 pointer-only (licence)
  Under such a perspective, we propose pseudo numerical methods for diffusion models (PNDMs).
• WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
  26 Oct 2021 9 repositories listed
  Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
• SwinIR: Image Restoration Using Swin Transformer
  23 Aug 2021 9 repositories listed Syntology ran 30 of 45 samples · 15 unverified · 5 pointer-only (licence)
  In particular, the deep feature extraction module is composed of several residual Swin Transformer blocks (RSTB), each of which has several Swin Transformer layers together with a residual connection.
• NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
  30 Dec 2020 9 repositories listed
  Subsequently, image denosing can be achieved by selecting corresponding basis of the signal subspace and projecting the input into such space.
• Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
  3 Aug 2017 9 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we introduce a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity.
• Multi-Stage Progressive Image Restoration
  4 Feb 2021 8 repositories listed Syntology ran 18 of 26 samples · 8 unverified · 25 pointer-only (licence)
  At each stage, we introduce a novel per-pixel adaptive design that leverages in-situ supervised attention to reweight the local features.
• CycleISP: Real Image Restoration via Improved Data Synthesis
  17 Mar 2020 8 repositories listed
  This is mainly because the AWGN is not adequate for modeling the real camera noise which is signal-dependent and heavily transformed by the camera imaging pipeline.
• Multilingual Denoising Pre-training for Neural Machine Translation
  22 Jan 2020 8 repositories listed
  This paper demonstrates that multilingual denoising pre-training produces significant performance gains across a wide variety of machine translation (MT) tasks.
• FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
  11 Oct 2017 8 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Due to the fast inference and good performance, discriminative learning methods have been widely studied in image denoising.
• Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
  30 Nov 2021 7 repositories listed
  Machine Learning methods can learn how to reconstruct Magnetic Resonance Images and thereby accelerate acquisition, which is of paramount importance to the clinical workflow.
• Iterative Gaussianization: from ICA to Random Rotations
  31 Jan 2016 7 repositories listed Syntology ran 0 of 25 samples · 25 unverified
  The practical performance of RBIG is successfully illustrated in a number of multidimensional problems such as image synthesis, classification, denoising, and multi-information estimation.
• Structured Denoising Diffusion Models in Discrete State-Spaces
  7 Jul 2021 6 repositories listed Syntology ran 5 of 5 samples · 0 unverified
  Here, we introduce Discrete Denoising Diffusion Probabilistic Models (D3PMs), diffusion-like generative models for discrete data that generalize the multinomial diffusion model of Hoogeboom et al.
• TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
  14 Apr 2021 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Learning sentence embeddings often requires a large amount of labeled data.
• Pre-Trained Image Processing Transformer
  1 Dec 2020 6 repositories listed
  To maximally excavate the capability of transformer, we present to utilize the well-known ImageNet benchmark for generating a large amount of corrupted image pairs.
• Index Network
  11 Aug 2019 6 repositories listed
  By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data…
• Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
  1 Mar 2019 6 repositories listed
  It is the first time copying words from the source context and fully pre-training a sequence to sequence model are experimented on the GEC task.

Syntology lines on 21 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.