Noise Estimation

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

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

30 shown of 59 papers with code (114 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.

• Pyramid Real Image Denoising Network
  1 Aug 2019 4 repositories listed
  Second, at the multi-scale denoising stage, pyramid pooling is utilized to extract multi-scale features.
• Unprocessing Images for Learned Raw Denoising
  27 Nov 2018 4 repositories listed
  Machine learning techniques work best when the data used for training resembles the data used for evaluation.
• Toward Convolutional Blind Denoising of Real Photographs
  12 Jul 2018 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on real-world noisy photographs.
• Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
  4 May 2017 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  To highlight, RP with a CNN classifier can predict if an MNIST digit is a "one"or "not" with only 0.
• Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
  6 Apr 2022 2 repositories listed Syntology ran 14 of 18 samples · 4 unverified
  Additionally, for better noise fitting, we present an efficient architecture Simple Multi-scale Network (SMNet) as the generator.
• Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
  12 Jul 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Specifically, we approximate the joint distribution with two different factorized forms, which can be formulated as a denoiser mapping the noisy image to the clean one and a generator mapping the clean image to the…
• Variational Denoising Network: Toward Blind Noise Modeling and Removal
  29 Aug 2019 2 repositories listed
  On one hand, as other data-driven deep learning methods, our method, namely variational denoising network (VDN), can perform denoising efficiently due to its explicit form of posterior expression.
• GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
  27 May 2019 2 repositories listed
  In this paper, we propose a grouped residual dense network (GRDN), which is an extended and generalized architecture of the state-of-the-art residual dense network (RDN).
• Automatic, fast and robust characterization of noise distributions for diffusion MRI
  30 May 2018 2 repositories listed
  Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process.
• Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
  13 Sep 2016 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We present a theoretically grounded approach to train deep neural networks, including recurrent networks, subject to class-dependent label noise.
• Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
  19 May 2025 1 repository listed
  Our method identifies potentially noisy samples based on their loss distribution.
• DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
  30 Apr 2025 1 repository listed
  To address these challenges, we introduce \textbf{DGSolver}, a diffusion generalist solver with universal posterior sampling.
• D²-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
  14 Jan 2025 1 repository listed
  In this work, we propose D2-DPM, a dual denoising mechanism aimed at precisely mitigating the adverse effects of quantization noise on the noise estimation network.
• BiDM: Pushing the Limit of Quantization for Diffusion Models
  8 Dec 2024 1 repository listed Syntology ran 12 of 16 samples · 4 unverified · 16 pointer-only (licence)
  Diffusion models (DMs) have been significantly developed and widely used in various applications due to their excellent generative qualities.
• How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
  23 Oct 2024 1 repository listed
  Moreover, they heavily suffer from catastrophic forgetting and concept neglect on old personalized concepts when continually learning a series of new concepts.
• Dual convolutional neural network with attention for image blind denoising
  8 Sep 2024 1 repository listed
  To the best of our knowledge, the proposed DCANet is the first work that integrates both the dual CNN and attention mechanism for image denoising.
• One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
  4 Sep 2024 1 repository listed
  Using publicly available detections, IMM-JHSE outperforms almost all other 2D MOT methods and is outperformed only by 3D MOT methods -- some of which are offline -- on the KITTI-car dataset.
• 3D Priors-Guided Diffusion for Blind Face Restoration
  2 Sep 2024 1 repository listed
  To inherit the exceptional realism generative ability of the diffusion model and also constrained by the identity-aware fidelity, we propose a novel diffusion-based framework by embedding the 3D facial priors as…
• Image Denoising Using Green Channel Prior
  12 Aug 2024 1 repository listed
  Furthermore, to enhance the adaptivity of GCP-ID to various image contents, we cast the noise estimation problem into a classification task and train an effective estimator based on convolutional neural networks (CNNs).
• Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
  23 Jul 2024 1 repository listed
  Specifically, we propose a parallel UNets architecture: 1) the local branch performs the patch-based noise estimation in the diffusion process, and 2) the global branch recovers the low-resolution shadow-free images.
• DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
  22 May 2024 1 repository listed
  Non-autoregressive Transformers (NATs) are recently applied in direct speech-to-speech translation systems, which convert speech across different languages without intermediate text data.
• RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing
  15 May 2024 1 repository listed
  Since remote sensing images contain extensive small-scale texture structures, it is important to effectively restore image details from hazy images.
• Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
  25 Apr 2024 1 repository listed
  Yet, there is a gap in the literature to provide a well-generalized deep learning-based solution that performs well on images with unknown and highly complex degradations.
• Invertible Diffusion Models for Compressed Sensing
  25 Mar 2024 1 repository listed
  To enable such memory-intensive end-to-end fine-tuning, we propose a novel two-level invertible design to transform both (1) multi-step sampling process and (2) noise estimation U-Net in each step into invertible…
• Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling
  13 Mar 2024 1 repository listed
  Infrared Small Target Detection (IRSTD) aims to segment small targets from infrared clutter background.
• EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
  9 Jan 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Unfortunately, we find that due to the highly dynamic distribution of activations in different denoising steps, existing PTQ methods for diffusion models suffer from distribution mismatch issues at both calibration…
• Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
  26 Dec 2023 1 repository listed
  However, due to the fixed hand topology and complex hand poses, current models are hard to generate meshes that are aligned with the image well.
• FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
  20 Dec 2023 1 repository listed
  Specifically, noise estimation at each client is accomplished through the Gaussian mixture model and then incorporated into model aggregation in a layer-wise manner to up-weight high-quality clients.
• NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN
  15 Dec 2023 1 repository listed
  Therefore, recent studies have proposed methods that employ data-driven generative models, such as Generative Adversarial Networks (GAN) and Normalizing Flows.
• Product of Gaussian Mixture Diffusion Models
  19 Oct 2023 1 repository listed
  In this work we tackle the problem of estimating the density f_X of a random variable $ X $ by successive smoothing, such that the smoothed random variable $ Y $ fulfills the diffusion partial differential equation (∂ₜ…

Syntology lines on 7 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.