The Devil is in the Decoder: Classification, Regression and GANs (original) (raw)

DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis

Jules-Raymond Tapamo

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), 2019

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SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks

songnan li

ArXiv, 2019

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Enhanced Super-Resolution Using GAN

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution

Rao Umer

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020

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Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency

Gary Yen

IEEE Transactions on Neural Networks and Learning Systems, 2021

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DVDR-SRGAN: Differential Value Dense Residual Super-Resolution Generative Adversarial Network

huawei yi

Sensors

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Stacked Generative Adversarial Networks

Omid Poursaeed

CVPR, 2017

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Depth Map Upsampling via Multi-Modal Generative Adversarial Network

Joel P Ilao

Sensors, 2019

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Recent Advances of Generative Adversarial Networks in Computer Vision

yaxin lin

IEEE Access, 2018

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Content-Aware GAN Compression

Sun-yuan Kung

2021

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Real-World Super-Resolution using Generative Adversarial Networks

Amin Kheradmand

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020

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Inception generators for generative adversarial networks

Ramchand Hablani

International journal of health sciences

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Structured Prediction using cGANs with Fusion Discriminator

Faisal Mahmood

ArXiv, 2019

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Adversarial Generation of Continuous Images

Mohamed Elhoseiny

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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On Regression Losses for Deep Depth Estimation

Marcela Carvalho E.

2018 25th IEEE International Conference on Image Processing (ICIP), 2018

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SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

Haodong Duan

ArXiv, 2017

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Best-Buddy GANs for Highly Detailed Image Super-resolution

Nianjuan Jiang

Proceedings of the AAAI Conference on Artificial Intelligence

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iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks

Aman Chadha

Computational Visual Media

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SwiftSRGAN - Rethinking Super-Resolution for Efficient and Real-time Inference

Karthik Sivarama Krishnan

2021 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)

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Vision Transformers for Dense Prediction

Alexey Bochkovskiy

2021

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D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks

Ibrahim Demir

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Super-Resolution using Sub-pixel Recursive Adversarial Network with Perceptual Loss

Ganesh Bisht

International Journal of Computer Applications, 2017

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Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution

Arunav Pratap Shandeelya

2020

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Image Super-Resolution Using Generative Adversarial Networks with Learned Degradation Operators

Molefe Collymore Molefe

MATEC web of conferences, 2022

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D-SRGAN: DEM Super-Resolution with Generative Adversarial Network

Ibrahim Demir

2020

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Robust Multimodal Depth Estimation using Transformer based Generative Adversarial Networks

Fahim Faysal Khan

Proceedings of the 30th ACM International Conference on Multimedia

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The deep generative decoder: Using MAP estimates of representations

Viktoria Schuster

ArXiv, 2021

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Deep View Synthesis via Self-Consistent Generative Network

Zhuoman Liu

arXiv (Cornell University), 2021

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Deep Generative Adversarial Compression Artifact Removal

Marco Bertini

2017

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LocalBins: Improving Depth Estimation by Learning Local Distributions

Shariq Farooq

arXiv (Cornell University), 2022

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LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond

Nianjuan Jiang

ArXiv, 2020

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Toward Joint Image Generation and Compression using Generative Adversarial Networks

Byeongkeun Kang

ArXiv, 2019

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Brain Mri Super Resolution Using Generative Adversarial Networks

walter primosich

International conference on Medical Imaging with Deep Learning: Amsterdam, 4 - 6th July 2018, 2018

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Image Super-Resolution using Generative Adversarial Networks with EfficientNetV2

Taghreed Justinia

International Journal of Advanced Computer Science and Applications

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Least Squares Generative Adversarial Networks

Stephen Smolley

2017 IEEE International Conference on Computer Vision (ICCV), 2017

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