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Pixel-wise conditioned generative adversarial networks for image synthesis and completion

https://doi.org/10.1016/j.neucom.2019.11.116
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What this work says

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

inferredcites →https://doi.org/10.1002/2017wr022148openalex-snapshot
Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network
inferredcites →https://doi.org/10.1007/978-0-85729-748-8_14openalex-snapshot
Computer Vision Using Local Binary Patterns
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1023/a:1014009426274openalex-snapshot
Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2014.461openalex-snapshot
Describing Textures in the Wild
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.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
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.2018.00917openalex-snapshot
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
inferredcites →https://doi.org/10.1109/iccv.2015.425openalex-snapshot
Deep Learning Face Attributes in the Wild
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/taslp.2019.2947232openalex-snapshot
A Context Encoder For Audio Inpainting
inferredcites →https://doi.org/10.1109/tit.2005.858979openalex-snapshot
Decoding by Linear Programming
inferredcites →https://doi.org/10.1214/lnms/1215466757openalex-snapshot
Fundamentals of statistical exponential families with applications in statistical decision theory
inferredcites →https://doi.org/10.18154/rwth-2018-230918openalex-snapshot
Effective structural descriptors for natural and engineered radioactive waste confinement barriers
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1511.01844openalex-snapshot
A note on the evaluation of generative models
inferredcites →https://doi.org/10.48550/arxiv.1511.06434openalex-snapshot
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1511.07122openalex-snapshot
Multi-Scale Context Aggregation by Dilated Convolutions
inferredcites →https://doi.org/10.48550/arxiv.1607.08022openalex-snapshot
Instance Normalization: The Missing Ingredient for Fast Stylization
inferredcites →https://doi.org/10.48550/arxiv.1611.08207openalex-snapshot
Texture Synthesis with Spatial Generative Adversarial Networks
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.1708.07747openalex-snapshot
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1801.01973openalex-snapshot
A Note on the Inception Score
inferredcites →https://doi.org/10.48550/arxiv.1803.07422openalex-snapshot
Patch-Based Image Inpainting with Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1809.11096openalex-snapshot
Large Scale GAN Training for High Fidelity Natural Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.1901.09024openalex-snapshot
Diversity-Sensitive Conditional Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1905.06723openalex-snapshot
Deep Compressed Sensing
inferredcites →https://doi.org/10.48550/arxiv.1905.08613openalex-snapshot
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images

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.4180295openalex-extracted
UGAN-2G：An Unsupervised Target Image Remodeling Enhancement Network
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.10.027openalex-snapshot
Federated synthetic data generation with differential privacy
inferred← citeshttps://doi.org/10.1109/jsen.2021.3105442openalex-snapshot
Missing Data Imputation on IoT Sensor Networks: Implications for on-Site Sensor Calibration
inferred← citeshttps://doi.org/10.1155/2021/9357427openalex-snapshot
Synchronized Information Acquisition Method for Virtual Geographic Scene Image Synthesis in Cities Based on Wireless Network Technology
inferred← citeshttps://doi.org/10.70675/e7ddf8c7za533z4e50z9360z22c4b8e25be9openalex-snapshot
Auxiliary tasks for the conditioning of generative adversarial networks
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