图像生成 - arXivDaily 专题

2109.14567 2021-11-11 stat.ML cs.LG q-fin.CP stat.AP 50%

Implicit Generative Copulas

Tim Janke, Mohamed Ghanmi, Florian Steinke

专题命中其他图像生成：image generation(abstract)

Comments Accepted at NeurIPS 2021

2105.08960 2021-09-08 hep-ex cs.LG 50%

Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations

Florian Rehm, Sofia Vallecorsa, Kerstin Borras, Dirk Krücker

专题命中其他图像生成：image generation(abstract)

Comments Paper published at vCHEP2021 conference

2006.06625 2021-08-25 cs.LG cs.IT math.IT stat.ML 50%

Cumulant GAN

Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis, Yannis Stylianou, Markos Katsoulakis

专题命中其他图像生成：image generation(abstract)

Comments 37 pages, 27 figures

2002.05259 2021-08-11 cs.AI cs.LG 50%

Learning to Generate Levels From Nothing

Philip Bontrager, Julian Togelius

专题命中其他图像生成：image generation(abstract)

Comments 8 pages, 8 figures. Accepted to the 3rd IEEE Conference On Games (COG 2021)

2108.01701 2021-08-06 cs.LG 50%

Categorical EHR Imputation with Generative Adversarial Nets

Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching

专题命中其他图像生成：image generation(abstract)

2106.06364 2021-07-07 q-fin.CP q-fin.GN 50%

Generative Adversarial Networks in finance: an overview

Florian Eckerli, Joerg Osterrieder

专题命中其他图像生成：image generation(abstract)

2106.07048 2021-06-22 eess.SP 50%

Ultrasound Classification of Breast Masses Using a Comprehensive Nakagami Imaging and Machine Learning Framework

Ahmad Chowdhury, Rezwana R. Razzaque, Ahmad Shafiullah, Sabiq Muhtadi, Brian S. Garra, S. Kaisar Alam

专题命中其他图像生成：image generation(abstract)

Comments 25 pages, 12 figures

2006.13051 2021-06-18 cs.CR 50%

Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack

Hanrui Wang, Xingbo Dong, Zhe Jin, Andrew Beng Jin Teoh, Massimo Tistarelli

专题命中其他图像生成：image generation(abstract)

2012.01316 2021-06-14 cs.LG 50%

Improved Contrastive Divergence Training of Energy Based Models

Yilun Du, Shuang Li, Joshua Tenenbaum, Igor Mordatch

专题命中其他图像生成：image generation(abstract)

Comments ICML 2021, Project webpage at https://energy-based-model.github.io/improved-contrastive-divergence

2103.00823 2021-06-01 cs.CL 50%

M6: A Chinese Multimodal Pretrainer

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

专题命中其他图像生成：image generation(abstract)

Comments 12 pages, technical report. Extension of paper "M6" accepted to KDD 2021

2012.03149 2021-05-31 cs.LG 50%

Adaptive Weighted Discriminator for Training Generative Adversarial Networks

Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye

专题命中其他图像生成：image generation(abstract)

Comments 16 pages total, 7 figures, 6 tables and 2 algorithms

2006.05891 2021-05-25 cs.LG stat.ML 50%

On Noise Injection in Generative Adversarial Networks

Ruili Feng, Deli Zhao, Zhengjun Zha

专题命中其他图像生成：image generation(abstract)

Comments Deep Learning Theory; Generative Adversarial Network; Machine Learning

2010.10013 2021-05-24 cs.LG cs.GT math.OC 50%

Training Generative Adversarial Networks via stochastic Nash games

Barbara Franci, Sergio Grammatico

专题命中其他图像生成：image generation(abstract)

Comments arXiv admin note: text overlap with arXiv:2003.13637

2103.15317 2021-03-30 cs.RO 50%

Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar

Alexander Baikovitz, Paloma Sodhi, Michael Dille, Michael Kaess

专题命中其他图像生成：image generation(abstract)

Comments Submitted to the International Conference on Intelligent Robots and Systems (IROS) 2021

2103.14731 2021-03-30 cs.LG eess.IV eess.SP stat.AP 50%

Modeling the Nonsmoothness of Modern Neural Networks

Runze Liu, Chau-Wai Wong, Huaiyu Dai

专题命中其他图像生成：image generation(abstract)

2102.11433 2021-03-02 eess.IV cs.AI 50%

Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

Brendon Lutnick, Leema Krishna Murali, Brandon Ginley, Avi Z. Rosenberg, Pinaki Sarder

专题命中其他图像生成：image generation(abstract)

Comments 5 pages, 2 figures

1906.03220 2021-02-26 cs.LG stat.ML 50%

Labeled Graph Generative Adversarial Networks

Shuangfei Fan, Bert Huang

专题命中其他图像生成：image generation(abstract)

2011.07124 2021-02-08 astro-ph.IM astro-ph.GA cs.LG eess.IV 50%

Survey2Survey: A deep learning generative model approach for cross-survey image mapping

Brandon Buncher, Awshesh Nath Sharma, Matias Carrasco Kind

专题命中其他图像生成：image generation(abstract)

Comments 24 pages, 19 figures. Accepted by MNRAS

2003.06035 2021-01-19 eess.IV physics.med-ph physics.optics 50%

Resolution enhancement and realistic speckle recovery with generative adversarial modeling of micro-optical coherence tomography

Kaicheng Liang, Xinyu Liu, Si Chen, Jun Xie, Wei Qing Lee, Linbo Liu, Hwee Kuan Lee

专题命中其他图像生成：image generation(abstract)

Journal ref Biomedical Optics Express (2020)

1805.11565 2021-01-15 stat.ML cs.LG 50%

On gradient regularizers for MMD GANs

Michael Arbel, Danica J. Sutherland, Mikołaj Bińkowski, Arthur Gretton

专题命中其他图像生成：image generation(abstract)

Comments Code at https://github.com/MichaelArbel/Scaled-MMD-GAN

Journal ref Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 6700-6710

1406.7635 2020-12-24 physics.comp-ph cond-mat.mes-hall 50%

The design and verification of Mumax3

Arne Vansteenkiste, Jonathan Leliaert, Mykola Dvornik, Felipe Garcia-Sanchez, Bartel Van Waeyenberge

专题命中其他图像生成：image generation(abstract)

2011.02099 2020-11-05 cs.CL cs.SD eess.AS 50%

Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework

Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

专题命中其他图像生成：image generation(abstract)

Comments Accepted at INTERSPEECH 2020

2003.11505 2020-10-07 cond-mat.mes-hall physics.comp-ph 50%

A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images

G. D. Förster, A. Castan, A. Loiseau, J. Nelayah, D. Alloyeau, F. Fossard, C. Bichara, H. Amara

专题命中其他图像生成：image generation(abstract)

Comments for use of the discussed computer code, please contact the corresponding author

Journal ref Carbon 169, 465 (2020)

2010.01862 2020-10-06 cs.CR cs.AI 50%

Data Augmentation Based Malware Detection using Convolutional Neural Networks

Ferhat Ozgur Catak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand

专题命中其他图像生成：image generation(abstract)

Comments 18 pages

2007.03640 2020-07-17 cs.LG stat.ML 50%

Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization

Rogan Morrow, Wei-Chen Chiu

专题命中其他图像生成：image generation(abstract)

2006.08711 2020-06-17 cs.LG math.OC stat.ML 50%

Explicit Gradient Learning

Mor Sinay, Elad Sarafian, Yoram Louzoun, Noa Agmon, Sarit Kraus

专题命中其他图像生成：image generation(abstract)

2005.06993 2020-05-15 cs.LG cs.SD eess.AS 50%

deepSELF: An Open Source Deep Self End-to-End Learning Framework

Tomoya Koike, Kun Qian, Björn W. Schuller, Yoshiharu Yamamoto

专题命中其他图像生成：image generation(abstract)

Comments 4 pages, 1 figure

2004.08228 2020-04-20 eess.IV 50%

Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery

Zachary Mulhollan, Aneesh Rangnekar, Timothy Bauch, Matthew J. Hoffman, Anthony Vodacek

专题命中其他图像生成：image generation(abstract)

Comments 10 pages with supplementary material, 7 figures, submitted to CVPR PBVS 2020 Conference, Dataset uploaded to https://github.com/mulhollanz/Hyperspectral_Vehicle_Paint_Signatures_Dataset.git

1903.07766 2020-04-02 cs.HC cs.AI cs.CL 50%

Lemotif: An Affective Visual Journal Using Deep Neural Networks

X. Alice Li, Devi Parikh

专题命中其他图像生成：image generation(abstract)

1905.09922 2020-02-28 cs.CL cs.LG stat.ML 50%

Training language GANs from Scratch

Cyprien de Masson d'Autume, Mihaela Rosca, Jack Rae, Shakir Mohamed

专题命中其他图像生成：image generation(abstract)

1. 其他图像生成 762 篇

Implicit Generative Copulas

Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations

Cumulant GAN

Learning to Generate Levels From Nothing

Categorical EHR Imputation with Generative Adversarial Nets

Generative Adversarial Networks in finance: an overview

Ultrasound Classification of Breast Masses Using a Comprehensive Nakagami Imaging and Machine Learning Framework

Interpretable security analysis of cancellable biometrics using constrained-optimized similarity-based attack

Improved Contrastive Divergence Training of Energy Based Models

M6: A Chinese Multimodal Pretrainer

Adaptive Weighted Discriminator for Training Generative Adversarial Networks

On Noise Injection in Generative Adversarial Networks

Training Generative Adversarial Networks via stochastic Nash games

Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar

Modeling the Nonsmoothness of Modern Neural Networks

Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training

Labeled Graph Generative Adversarial Networks

Survey2Survey: A deep learning generative model approach for cross-survey image mapping

Resolution enhancement and realistic speckle recovery with generative adversarial modeling of micro-optical coherence tomography

On gradient regularizers for MMD GANs

The design and verification of Mumax3

Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework

A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images

Data Augmentation Based Malware Detection using Convolutional Neural Networks

Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization

Explicit Gradient Learning

deepSELF: An Open Source Deep Self End-to-End Learning Framework

Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery

Lemotif: An Affective Visual Journal Using Deep Neural Networks

Training language GANs from Scratch