图像生成 - arXivDaily 专题

2106.13435 2021-07-07 cs.CV cs.LG 79%

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation

Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, Renjie Liao

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

Comments UAI2021, code at https://github.com/ZENGXH/NPDRAW

2106.03814 2021-06-08 cs.CV cs.LG eess.IV 79%

High Resolution Solar Image Generation using Generative Adversarial Networks

Ankan Dash, Junyi Ye, Guiling Wang

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

Comments 10 pages, 3 figures

2006.12681 2021-02-04 cs.CV cs.LG 79%

ContraGAN: Contrastive Learning for Conditional Image Generation

Minguk Kang, Jaesik Park

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

Comments 34th Conference on Neural Information Processing Systems (NeurIPS 2020)

2012.02780 2020-12-07 cs.CV 79%

Few-shot Image Generation with Elastic Weight Consolidation

Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman

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

Comments Accepted by NeurIPS 2020, see https://yijunmaverick.github.io/publications/ewc/

2011.13026 2020-11-30 cs.CV cs.LG 79%

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation

Davis Wertheimer, Omid Poursaeed, Bharath Hariharan

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

2009.08688 2020-09-21 cs.CV 79%

Conditional Image Generation with One-Vs-All Classifier

Xiangrui Xu, Yaqin Li, Cao Yuan

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

2008.02436 2020-08-07 cs.CV eess.IV 79%

GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation

Ying Liu, Wenhong Cai, Xiaohui Yuan, Jinhai Xiang

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

2008.01999 2020-08-07 cs.CV 79%

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

Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang

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

Comments This paper is accepted by ACM Multimedia 2020

2006.14380 2020-06-26 cs.CV eess.IV 79%

Deep Convolutional GANs for Car Image Generation

Dong Hui Kim

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

Comments 6 pages, 8 figures

2005.10687 2020-05-22 eess.IV cs.CV cs.LG 79%

Medical Image Generation using Generative Adversarial Networks

Nripendra Kumar Singh, Khalid Raza

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

Comments 19 pages, 3 figures, 5 tables

1908.00999 2020-04-17 cs.CV cs.LG eess.IV 79%

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan

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

Comments 9 pages, 8 figures, accepted to ACM MM 2019

Journal ref ACM MM 2019

2003.06054 2020-03-16 cs.CV 79%

Deep Domain-Adversarial Image Generation for Domain Generalisation

Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

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

Comments 8 pages

2002.03219 2020-02-11 cs.CV cs.LG eess.IV 79%

Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network

Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan

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

Comments It has been accepted by ICASSP 2020

2001.11539 2020-02-03 cs.CV cs.LG eess.IV 79%

Adversarial Code Learning for Image Generation

Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu

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

1910.08108 2019-10-22 cs.LG cs.CV stat.ML 79%

Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation

Anindya Sarkar, Nikhil Kumar Gupta, Raghu Iyengar

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

Comments Adversarial Machine Learning

1811.11163 2019-07-25 cs.CV cs.LG stat.ML 79%

Class-Distinct and Class-Mutual Image Generation with GANs

Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada

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

Comments Accepted to BMVC 2019 (Spotlight). Project page: https://takuhirok.github.io/CP-GAN/

1905.08613 2019-05-22 cs.CV cs.LG eess.IV 79%

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

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

Journal ref Conf{é}rence sur l'Apprentissage Automatique, Jun 2018, Rouen, France

1705.02887 2018-12-21 cs.CV 79%

Generative Cooperative Net for Image Generation and Data Augmentation

Qiangeng Xu, Zengchang Qin, Tao Wan

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

Comments 12 pages, 8 figures

Journal ref The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) 2019

1806.07823 2018-12-17 cs.CV 79%

Unsupervised Learning of Object Landmarks through Conditional Image Generation

Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi

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

Comments In NeurIPS 2018. Project page: http://www.robots.ox.ac.uk/~vgg/research/unsupervised_landmarks/

1806.06183 2018-06-19 cs.CV 79%

The Neural Painter: Multi-Turn Image Generation

Ryan Y. Benmalek, Claire Cardie, Serge Belongie, Xiadong He, Jianfeng Gao

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

1805.02456 2018-05-08 cs.CV 79%

Unpaired Multi-Domain Image Generation via Regularized Conditional GANs

Xudong Mao, Qing Li

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

1802.08795 2018-02-27 cs.CV 79%

Constrained Image Generation Using Binarized Neural Networks with Decision Procedures

Svyatoslav Korneev, Nina Narodytska, Luca Pulina, Armando Tacchella, Nikolaj Bjorner, Mooly Sagiv

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

1703.02921 2017-03-09 cs.CV 79%

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg

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

Comments To appear in CVPR 2017

1606.05328 2016-06-21 cs.CV cs.LG 79%

Conditional Image Generation with PixelCNN Decoders

Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu

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

1502.04623 2015-05-21 cs.CV cs.LG cs.NE 79%

DRAW: A Recurrent Neural Network For Image Generation

Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra

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

2606.05188 2026-06-05 cs.CY cs.AI 78%

Assessing the Geographic Diversity of AI's Platial Representations in Image Generation

评估图像生成中AI地点表征的地理多样性

Zilong Liu, Krzysztof Janowicz, Mina Karimi

机构 * Department of Geography and Regional Research, University of Vienna, Austria（维也纳大学地理与区域研究系）

专题命中其他图像生成：image generation(title,abstract)

AI总结本文以GPT和DALL-E模型为例，引入生态学中的物种多样性度量方法，通过相似性加权评估图像生成的地理多样性，发现旧模型可能更具多样性且提示修订比图像生成更促进多样性，同时观察到模型同质性导致缺乏地理多样性。

Comments Full conference paper accepted by the AGILE 2026 (https://agile-gi.eu/conference-2026)

2504.00388 2025-04-02 cs.CY cs.LG 78%

Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o

Marinus Ferreira

专题命中其他图像生成：image generation(title,abstract)

Comments Presented at the 74th Annual ICA 2024 Conference, in the stream "Image-as-Data Methods in the Age of Generative Artificial Intelligence", 22 June 2024

2402.07104 2024-02-13 cs.HC 78%

The Aleph & Other Metaphors for Image Generation

Gonzalo Ramos, Rick Barraza, Victor Dibia, Sharon Lo

专题命中其他图像生成：image generation(title,abstract)

2401.16847 2024-01-31 eess.IV 78%

X-ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study

Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, K. Joost Batenburg

专题命中其他图像生成：image generation(title,abstract)

2006.03243 2022-10-04 cs.LG stat.ML 78%

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks

Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen

专题命中其他图像生成：image generation(title,abstract)

Comments Accepted by 2022 International Joint Conference on Neural Networks (IJCNN)

Journal ref 2022 International Joint Conference on Neural Networks (IJCNN)

1. 其他图像生成 762 篇

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation

High Resolution Solar Image Generation using Generative Adversarial Networks

ContraGAN: Contrastive Learning for Conditional Image Generation

Few-shot Image Generation with Elastic Weight Consolidation

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation

Conditional Image Generation with One-Vs-All Classifier

GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation

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

Deep Convolutional GANs for Car Image Generation

Medical Image Generation using Generative Adversarial Networks

Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

Deep Domain-Adversarial Image Generation for Domain Generalisation

Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network

Adversarial Code Learning for Image Generation

Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation

Class-Distinct and Class-Mutual Image Generation with GANs

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation

Generative Cooperative Net for Image Generation and Data Augmentation

Unsupervised Learning of Object Landmarks through Conditional Image Generation

The Neural Painter: Multi-Turn Image Generation

Unpaired Multi-Domain Image Generation via Regularized Conditional GANs

Constrained Image Generation Using Binarized Neural Networks with Decision Procedures

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

Conditional Image Generation with PixelCNN Decoders

DRAW: A Recurrent Neural Network For Image Generation

Assessing the Geographic Diversity of AI's Platial Representations in Image Generation

Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o

The Aleph & Other Metaphors for Image Generation

X-ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study

mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks