On the public citation graph
Mdtnet: Partial Transformer with Degradation-Aware Module for Restoring Old Photos with Multiple Degradations
0 signed · 41 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_18openalex-extracted
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
inferredcites →https://doi.org/10.1007/978-3-030-11021-5_5openalex-extracted
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
inferredcites →https://doi.org/10.1007/978-3-030-58526-6_19openalex-extracted
Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration
inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-extracted
The Pascal Visual Object Classes (VOC) Challenge
inferredcites →https://doi.org/10.1007/s41095-022-0274-8openalex-extracted
PVT v2: Improved baselines with pyramid vision transformer
inferredcites →https://doi.org/10.1016/j.neucom.2019.07.023openalex-extracted
Stacked dense networks for single-image snow removal
inferredcites →https://doi.org/10.1109/cvpr.2007.383092openalex-extracted
What makes a good model of natural images?
inferredcites →https://doi.org/10.1109/cvpr.2018.00068openalex-extracted
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
inferredcites →https://doi.org/10.1109/cvpr.2018.00259openalex-extracted
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/cvpr.2018.00853openalex-extracted
Scale-Recurrent Network for Deep Image Deblurring
inferredcites →https://doi.org/10.1109/cvpr.2019.00925openalex-extracted
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00282openalex-extracted
Bringing Old Photos Back to Life
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00324openalex-extracted
All in One Bad Weather Removal Using Architectural Search
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00486openalex-extracted
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00905openalex-extracted
Towards Real-World Blind Face Restoration with Generative Facial Prior
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01458openalex-extracted
Multi-Stage Progressive Image Restoration
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01716openalex-extracted
Uformer: A General U-Shaped Transformer for Image Restoration
inferredcites →https://doi.org/10.1109/iccv.2009.5459452openalex-extracted
Non-local sparse models for image restoration
inferredcites →https://doi.org/10.1109/iccv.2019.00897openalex-extracted
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
inferredcites →https://doi.org/10.1109/iccv48922.2021.00231openalex-extracted
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
inferredcites →https://doi.org/10.1109/icip.2008.4711836openalex-extracted
Total variation super resolution using a variational approach
inferredcites →https://doi.org/10.1109/ism.2005.91openalex-extracted
Photo Defect Detection for Image Inpainting
inferredcites →https://doi.org/10.1109/tcyb.2021.3070310openalex-extracted
Hierarchical Density-Aware Dehazing Network
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-extracted
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2005.860311openalex-extracted
Digital image processing techniques for the detection and removal of cracks in digitized paintings
inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-extracted
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
inferredcites →https://doi.org/10.1109/tip.2021.3076310openalex-extracted
Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness
inferredcites →https://doi.org/10.1109/wacv56688.2023.00177openalex-extracted
Pik-Fix: Restoring and Colorizing Old Photos
inferredcites →https://doi.org/10.1145/1186822.1073263openalex-extracted
Texture optimization for example-based synthesis
inferredcites →https://doi.org/10.1145/3394171.3413965openalex-extracted
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
inferredcites →https://doi.org/10.1145/3596711.3596777openalex-extracted
PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing
inferredcites →https://doi.org/10.3390/s22218580openalex-extracted
Learning-Based Image Damage Area Detection for Old Photo Recovery
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2109.07162openalex-extracted
MISSFormer: An Effective Medical Image Segmentation Transformer
inferredcites →https://doi.org/10.1109/iros55552.2023.10342025openalex-snapshot
LocalViT: Analyzing Locality in Vision Transformers
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.