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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.

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What this work says

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

inferredcites →https://doi.org/10.1002/cpa.20075openalex-snapshot

Variational image inpainting

inferredcites →https://doi.org/10.1007/978-3-030-01216-8_1openalex-snapshot

Contextual-Based Image Inpainting: Infer, Match, and Translate

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_6openalex-snapshot

Image Inpainting for Irregular Holes Using Partial Convolutions

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

inferredcites →https://doi.org/10.1007/978-3-540-24673-2_31openalex-snapshot

Seamless Image Stitching in the Gradient Domain

inferredcites →https://doi.org/10.1007/s11263-010-0418-7openalex-snapshot

A Variational Framework for Exemplar-Based Image Inpainting

inferredcites →https://doi.org/10.1017/s0956792502004904openalex-snapshot

Digital inpainting based on the Mumford–Shah–Euler image model

inferredcites →https://doi.org/10.1080/10867651.2004.10487596openalex-snapshot

An Image Inpainting Technique Based on the Fast Marching Method

inferredcites →https://doi.org/10.1109/4.996openalex-snapshot

Design of an image edge detection filter using the Sobel operator

inferredcites →https://doi.org/10.1109/83.935036openalex-snapshot

Filling-in by joint interpolation of vector fields and gray levels

inferredcites →https://doi.org/10.1109/cvpr.2005.374openalex-snapshot

Why I Want a Gradient Camera

inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot

Context Encoders: Feature Learning by Inpainting

inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot

Rethinking the Inception Architecture for Computer Vision

inferredcites →https://doi.org/10.1109/cvpr.2017.434openalex-snapshot

High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis

inferredcites →https://doi.org/10.1109/cvpr.2017.728openalex-snapshot

Semantic Image Inpainting with Deep Generative Models

inferredcites →https://doi.org/10.1109/cvpr.2018.00577openalex-snapshot

Generative Image Inpainting with Contextual Attention

inferredcites →https://doi.org/10.1109/cvpr.2018.00824openalex-snapshot

Eye In-painting with Exemplar Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2015.164openalex-snapshot

Holistically-Nested Edge Detection

inferredcites →https://doi.org/10.1109/iccv.2015.425openalex-snapshot

Deep Learning Face Attributes in the Wild

inferredcites →https://doi.org/10.1109/icip.2011.6116441openalex-snapshot

Examplar-based inpainting based on local geometry

inferredcites →https://doi.org/10.1109/tip.2003.815261openalex-snapshot

Simultaneous structure and texture image inpainting

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.2004.833105openalex-snapshot

Region Filling and Object Removal by Exemplar-Based Image Inpainting

inferredcites →https://doi.org/10.1109/tnnls.2015.2423694openalex-snapshot

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-snapshot

A Computational Approach to Edge Detection

inferredcites →https://doi.org/10.1109/tpami.2015.2392756openalex-snapshot

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

inferredcites →https://doi.org/10.1109/tpami.2017.2723009openalex-snapshot

Places: A 10 Million Image Database for Scene Recognition

inferredcites →https://doi.org/10.1145/1201775.882269openalex-snapshot

Poisson image editing

inferredcites →https://doi.org/10.1145/1360612.1360692openalex-snapshot

Real-time gradient-domain painting

inferredcites →https://doi.org/10.1145/1399504.1360692openalex-snapshot

Real-time gradient-domain painting

inferredcites →https://doi.org/10.1145/1531326.1531330openalex-snapshot

PatchMatch

inferredcites →https://doi.org/10.1145/1576246.1531330openalex-snapshot

PatchMatch

inferredcites →https://doi.org/10.1145/2185520.2185578openalex-snapshot

Image melding

inferredcites →https://doi.org/10.1145/2601097.2601205openalex-snapshot

Image completion using planar structure guidance

inferredcites →https://doi.org/10.1145/3072959.3073659openalex-snapshot

Globally and locally consistent image completion

inferredcites →https://doi.org/10.1145/3240508.3240625openalex-snapshot

Semantic Image Inpainting with Progressive Generative Networks

inferredcites →https://doi.org/10.1145/3240508.3240678openalex-snapshot

Structural inpainting

inferredcites →https://doi.org/10.1145/344779.344972openalex-snapshot

Image inpainting

inferredcites →https://doi.org/10.21236/ada437276openalex-snapshot

Variational Image Inpainting

inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot

GAN（Generative Adversarial Nets）

inferredcites →https://doi.org/10.48550/arxiv.1511.07122openalex-snapshot

Multi-Scale Context Aggregation by Dilated Convolutions

inferredcites →https://doi.org/10.48550/arxiv.1706.08500openalex-snapshot

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

inferredcites →https://doi.org/10.48550/arxiv.1710.10196openalex-snapshot

Progressive Growing of GANs for Improved Quality, Stability, and Variation

inferredcites →https://doi.org/10.48550/arxiv.1901.00212openalex-snapshot

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4580612openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-030-86608-2_44openalex-snapshot

Wavelet-Based Face Inpainting with Channel Relation Attention

inferred← citeshttps://doi.org/10.1007/s11263-023-01977-6openalex-snapshot

Deep Learning-Based Image and Video Inpainting: A Survey

inferred← citeshttps://doi.org/10.1016/j.displa.2021.102132openalex-snapshot

Image harmonization based on the semantic information of foreground human

inferred← citeshttps://doi.org/10.1016/j.jvcir.2022.103681openalex-snapshot

Multi-scale gradient attention guidance and adaptive style fusion for image inpainting

inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.104014openalex-snapshot

Deep generative network for image inpainting with gradient semantics and spatial-smooth attention

inferred← citeshttps://doi.org/10.1109/access.2022.3143499openalex-snapshot

GFNet: A Gradient Information Compensation-Based Face Super-Resolution Network

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00842openalex-snapshot

DoveNet: Deep Image Harmonization via Domain Verification

inferred← citeshttps://doi.org/10.1109/icarc61713.2024.10499706openalex-snapshot

Motion Deblurring Through Autoencoder-Based Image Restoration

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413433openalex-snapshot

PD-GAN: Perceptual-Details GAN for Extremely Noisy Low Light Image Enhancement

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01429openalex-snapshot

Parallel Multi-Resolution Fusion Network for Image Inpainting

inferred← citeshttps://doi.org/10.1109/icme51207.2021.9428204openalex-snapshot

Image Inpainting Using Edge Structure Aware Hierarchical Guidance

inferred← citeshttps://doi.org/10.1109/lsp.2020.3022289openalex-snapshot

Image Editing via Segmentation Guided Self-Attention Network

inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3130196openalex-snapshot

SwapInpaint: Identity-Specific Face Inpainting With Identity Swapping

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3574529openalex-snapshot

Adaptive Prior and Long-Range Dependency-Based Learners for Image Inpainting

inferred← citeshttps://doi.org/10.1109/tip.2020.3048629openalex-snapshot

Dynamic Selection Network for Image Inpainting

inferred← citeshttps://doi.org/10.1109/tnnls.2022.3145962openalex-snapshot

From Pixel to Patch: Synthesize Context-Aware Features for Zero-Shot Semantic Segmentation

inferred← citeshttps://doi.org/10.1117/12.3004756openalex-snapshot

An unsupervised transfer method for composited image to real image under dark light conditions

inferred← citeshttps://doi.org/10.1142/s0219649221500398openalex-snapshot

Towards Source-Based Classification of Image Inpainting Techniques: A Survey

inferred← citeshttps://doi.org/10.1145/3394171.3413561openalex-snapshot

F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation

inferred← citeshttps://doi.org/10.1145/3444685.3446319openalex-snapshot

Structure-preserving extremely low light image enhancement with fractional order differential mask guidance

inferred← citeshttps://doi.org/10.1145/3474085.3475475openalex-snapshot

An Adaptive Iterative Inpainting Method with More Information Exploration

inferred← citeshttps://doi.org/10.1155/2022/5165962openalex-snapshot

Multichannel Cross-Scale Semantic Coherent Attention Network for Image Inpainting

inferred← citeshttps://doi.org/10.2139/ssrn.7306280openalex-snapshot

Fast Real-World Face De-Occlusion by Style-Based GAN Prior

inferred← citeshttps://doi.org/10.26599/tst.2023.9010079openalex-snapshot

SemID: Blind Image Inpainting with Semantic Inconsistency Detection

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