图像生成 - arXivDaily 专题

2108.09093 2021-09-15 cs.LG cs.CV 57%

Towards Understanding the Generative Capability of Adversarially Robust Classifiers

Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted by ICCV 2021, Oral

2109.05864 2021-09-14 cs.CV 57%

Conditional MoCoGAN for Zero-Shot Video Generation

Shun Kimura, Kazuhiko Kawamoto

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments 5 pages, 4 figure

2109.03237 2021-09-10 eess.IV cs.CV 57%

MRI Reconstruction Using Deep Energy-Based Model

Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments 36 pages, 9 figures

2011.01730 2021-09-02 cs.CV 57%

Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

Gulcin Baykal, Furkan Ozcelik, Gozde Unal

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted manuscript

2103.11834 2021-08-18 eess.IV cs.CV 57%

Generation and Simulation of Yeast Microscopy Imagery with Deep Learning

Christoph Reich

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

1906.00184 2021-07-21 cs.CV 57%

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation

Jianxin Lin, Yingce Xia, Sen Liu, Shuqin Zhao, Zhibo Chen

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted by Nuerocomputing

2101.00122 2021-07-05 cs.CV cs.LG 57%

Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More

Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted as a conference paper at ECML2021

2106.14127 2021-06-29 cs.CL cs.AI cs.CV 57%

Visual Conceptual Blending with Large-scale Language and Vision Models

Songwei Ge, Devi Parikh

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

2011.12026 2021-06-29 cs.CV cs.AI cs.LG 57%

Adversarial Generation of Continuous Images

Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments 19 pages, 17 figures

2106.08505 2021-06-17 cs.CV cs.LG eess.IV 57%

Dynamically Grown Generative Adversarial Networks

Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted to AAAI 2021

2106.07771 2021-06-16 cs.CV 57%

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Jian Ren, Menglei Chai, Oliver J. Woodford, Kyle Olszewski, Sergey Tulyakov

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments CVPR 2021

2103.08700 2021-06-08 eess.IV cs.CV 57%

Deep Learning for Chest X-ray Analysis: A Survey

Ecem Sogancioglu, Erdi Çallı, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Under review in Medical Image Analysis

2106.00134 2021-06-02 cs.LG cs.AI cs.CV 57%

GANs Can Play Lottery Tickets Too

Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

1909.03824 2021-05-25 cs.LG cs.CV eess.IV 57%

Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations

Yongqiang Tian, Shiqing Ma, Ming Wen, Yepang Liu, Shing-Chi Cheung, Xiangyu Zhang

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Please note that a later version of this paper is accepted by Empirical Software Engineering in 2021. The title of the accepted paper is: "To What Extent Do DNN-based Image Classification Models Make Unreliable Inferences?". Please contact the first author if you are interested in the accepted version

2105.06219 2021-05-17 cs.CV 57%

TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets

Yaxing Wang, Hector Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Technical report

2011.03864 2021-05-12 cs.CV 57%

Latent Neural Differential Equations for Video Generation

Cade Gordon, Natalie Parde

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

2105.01957 2021-05-06 cs.LG cs.CV 57%

Perceptual Gradient Networks

Dmitry Nikulin, Roman Suvorov, Aleksei Ivakhnenko, Victor Lempitsky

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments 28 pages, 15 figures, 8 tables

2104.08894 2021-04-20 cs.CV cs.LG stat.ML 57%

The Intrinsic Dimension of Images and Its Impact on Learning

Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments To appear at ICLR 2021 (spotlight), 17 pages with appendix, 15 figures

2012.13253 2021-03-26 cs.LG cs.AI cs.CV 57%

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

Tal Daniel, Aviv Tamar

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments CVPR 2021, Extended version. Code and additional information is available on the project website - https://taldatech.github.io/soft-intro-vae-web

2103.12896 2021-03-25 cs.CV cs.LG eess.IV 57%

SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms

Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Partha Pratim Pande

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

2006.12155 2021-03-03 cs.NE cs.CV cs.LG 57%

Neural Cellular Automata Manifold

Alejandro Hernandez Ruiz, Armand Vilalta, Francesc Moreno-Noguer

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

2006.13026 2021-03-02 cs.LG cs.CV stat.ML 57%

Deep Polynomial Neural Networks

Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Code: https://github.com/grigorisg9gr/polynomial_nets. arXiv admin note: substantial text overlap with arXiv:2003.03828

2102.05113 2021-02-11 cs.CV cs.AI 57%

Negative Data Augmentation

Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted at ICLR 2021

2101.06046 2021-01-18 cs.LG cs.CV 57%

Counterfactual Generative Networks

Axel Sauer, Andreas Geiger

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Published at ICLR 2021

2101.03710 2021-01-12 cs.CV 57%

ArrowGAN : Learning to Generate Videos by Learning Arrow of Time

Kibeom Hong, Youngjung Uh, Hyeran Byun

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Neurocomputing

1906.01529 2021-01-01 cs.LG cs.CV 57%

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

Zhengwei Wang, Qi She, Tomas E. Ward

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments Accepted by ACM Computing Surveys, 23 November 2020

2012.09673 2020-12-18 cs.LG cs.CV 57%

Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues

Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

2012.04525 2020-12-09 cs.LG cs.CV eess.IV 57%

GMM-Based Generative Adversarial Encoder Learning

Yuri Feigin, Hedva Spitzer, Raja Giryes

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

2012.01782 2020-12-04 cs.CV 57%

Attributes Aware Face Generation with Generative Adversarial Networks

Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments 8 pages, 5 figures, 3 tables. Accepted by ICPR2020

2003.11512 2020-11-18 cs.CV 57%

Improved Techniques for Training Single-Image GANs

Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter

专题命中其他图像生成：image generation(abstract)；分类 cs.CV

Comments WACV 2021. Code and supplementary material available at https://github.com/tohinz/ConSinGAN

1. 其他图像生成 762 篇

Towards Understanding the Generative Capability of Adversarially Robust Classifiers

Conditional MoCoGAN for Zero-Shot Video Generation

MRI Reconstruction Using Deep Energy-Based Model

Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

Generation and Simulation of Yeast Microscopy Imagery with Deep Learning

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation

Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More

Visual Conceptual Blending with Large-scale Language and Vision Models

Adversarial Generation of Continuous Images

Dynamically Grown Generative Adversarial Networks

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Deep Learning for Chest X-ray Analysis: A Survey

GANs Can Play Lottery Tickets Too

Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations

TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets

Latent Neural Differential Equations for Video Generation

Perceptual Gradient Networks

The Intrinsic Dimension of Images and Its Impact on Learning

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms

Neural Cellular Automata Manifold

Deep Polynomial Neural Networks

Negative Data Augmentation

Counterfactual Generative Networks

ArrowGAN : Learning to Generate Videos by Learning Arrow of Time

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues

GMM-Based Generative Adversarial Encoder Learning

Attributes Aware Face Generation with Generative Adversarial Networks

Improved Techniques for Training Single-Image GANs