On the public citation graph

AFRIFNet: Adaptive Feature Residual Learning with Identity Flow for Image Denoising

0 signed · 18 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58607-2_3openalex-snapshot

Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation

inferredcites →https://doi.org/10.1007/s11760-022-02471-1openalex-snapshot

FEUNet: a flexible and effective U-shaped network for image denoising

inferredcites →https://doi.org/10.1016/j.knosys.2021.106949openalex-snapshot

Designing and training of a dual CNN for image denoising

inferredcites →https://doi.org/10.1016/j.neucom.2018.12.075openalex-snapshot

Dilated Residual Networks with Symmetric Skip Connection for image denoising

inferredcites →https://doi.org/10.1016/j.neunet.2019.08.022openalex-snapshot

Image denoising using deep CNN with batch renormalization

inferredcites →https://doi.org/10.1016/j.patcog.2023.109603openalex-snapshot

Multi scale pixel attention and feature extraction based neural network for image denoising

inferredcites →https://doi.org/10.1109/83.791975openalex-snapshot

Optimally isotropic Laplacian operator

inferredcites →https://doi.org/10.1109/access.2021.3061062openalex-snapshot

A Residual Dense U-Net Neural Network for Image Denoising

inferredcites →https://doi.org/10.1109/icme.2019.00051openalex-snapshot

Residual Dilated Network with Attention for Image Blind Denoising

inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot

Image quality assessment: from error visibility to structural similarity

inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot

Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

inferredcites →https://doi.org/10.1109/tip.2018.2839891openalex-snapshot

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

inferredcites →https://doi.org/10.1109/tip.2021.3104173openalex-snapshot

Real-Time Deep Image Retouching Based on Learnt Semantics Dependent Global Transforms

inferredcites →https://doi.org/10.1109/tip.2022.3183835openalex-snapshot

Variational Deep Image Restoration

inferredcites →https://doi.org/10.1109/tpami.2021.3088914openalex-snapshot

Plug-and-Play Image Restoration With Deep Denoiser Prior

inferredcites →https://doi.org/10.1117/1.3600632openalex-snapshot

Color demosaicking by local directional interpolation and nonlocal adaptive thresholding

inferredcites →https://doi.org/10.5201/ipol.2012.l-bm3dopenalex-snapshot

An Analysis and Implementation of the BM3D Image Denoising Method

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.