图像生成

The power of pictures: using ML assisted image generation to engage the crowd in complex socioscientific problems

Janet Rafner, Lotte Philipsen, Sebastian Risi, Joel Simon, Jacob Sherson

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

PIV/BOS Synthetic Image Generation in Variable Density Environments for Error Analysis and Experiment Design

Lalit K. Rajendran, Sally P. M. Bane, Pavlos P. Vlachos

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

Comments 11 pages, 4 figures. Submitted to Measurement Science and Technology

COIN: Counterfactual Image Generation for VQA Interpretation

Zeyd Boukhers, Timo Hartmann, Jan Jürjens

专题命中 其他图像生成 ：image generation(title)；分类 cs.CV、cs.MM

Realistic Image Generation using Region-phrase Attention

Wanming Huang, Yida Xu, Ian Oppermann

专题命中 其他图像生成 ：image generation(title)；分类 cs.CV、cs.GR

Beyond Token-Level Cross-Entropy: Fréchet Distributional Post-Training for Autoregressive Image Generation

超越 token 级交叉熵：用于自回归图像生成的 Fréchet 分布后训练

Jinhua Zhang, Yisong Lin, Wei Long, Shuhang Gu

机构 * UESTC（电子科技大学） 纠错

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

AI总结 该研究针对自回归图像生成器预训练与评估的目标及上下文不匹配问题，提出 FD-loss 后训练方法，在 ImageNet 256×256 任务上大幅降低 FID 与 FD_r6，提升生成质量且无额外参数或推理步骤。

PlankFormer: Robust Plankton Instance Segmentation via MAE-Pretrained Vision Transformers and Pseudo Community Image Generation

PlankFormer：通过MAE预训练视觉变换器和伪社区图像生成实现鲁棒的浮游生物实例分割

Masaharu Miyazaki, Yurie Otake, Koichi Ito, Wataru Makino, Jotaro Urabe, Takafumi Aoki

机构 * Graduate School of Information Sciences, Tohoku University（东京大学信息科学研究生院） ； The Center for Ecological Research, Kyoto University（京都大学生态研究中心） ； Graduate School of Life Sciences, Tohoku University（东京大学生命科学研究生院） 纠错

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

AI总结 本文提出PlankFormer框架，通过生成伪社区图像和MAE预训练视觉变换器解决浮游生物实例分割中的数据不足和区分困难问题，实验表明其在高杂质密度环境下表现优异。

Comments Accepted to ICPR2026

Synthetic Defect Image Generation for Power Line Insulator Inspection Using Multimodal Large Language Models

利用多模态大语言模型生成合成缺陷图像用于电力线路绝缘子检测

Xuesong Wang, Caisheng Wang

机构 * Department of Electrical and Computer Engineering, Wayne State University（电气与计算机工程系，韦恩州立大学） 纠错

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

AI总结 利用多模态大语言模型生成合成缺陷图像，提升电力线路绝缘子缺陷识别的准确率和数据效率。

Comments Submitted to Engineering Applications of Artificial Intelligence, Feb. 16, 2026

Differential Privacy Image Generation with Reconstruction Loss and Noise Injection Using an Error Feedback SGD

基于重构损失和噪声注入的差分隐私图像生成

Qiwei Ma, Jun Zhang

机构 * Shenzhen University（深圳大学） 纠错

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

AI总结 本文提出基于重构损失和噪声注入的差分隐私图像生成框架，采用EFSGD方法在保持隐私预算的前提下提升图像生成质量与实用性。

Introducing Resizable Region Packing Problem in Image Generation, with a Heuristic Solution

Hrishikesh Sharma

机构 * TCS Research（TCS研究） 纠错

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

Sea-ing Through Scattered Rays: Revisiting the Image Formation Model for Realistic Underwater Image Generation

Vasiliki Ismiroglou, Malte Pedersen, Stefan H. Bengtson, Andreas Aakerberg, Thomas B. Moeslund

机构 * Visual Analysis and Perception Laboratory, Aalborg University, Denmark（奥尔堡大学视觉分析与感知实验室） ； Pioneer Centre for Artificial Intelligence, Denmark（丹麦先锋人工智能中心） 纠错

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

GenFlow: Interactive Modular System for Image Generation

Duc-Hung Nguyen, Huu-Phuc Huynh, Minh-Triet Tran, Trung-Nghia Le

机构 * University of Science, Ho Chi Minh City, Vietnam（越南胡志明市科学大学） ； Vietnam National University, Ho Chi Minh City, Vietnam（越南国家大学） 纠错

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

Comments CBMI 2025

ZipAR: Parallel Auto-regressive Image Generation through Spatial Locality

Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang

机构 * Zhejiang University, China（浙江大学） ； Shanghai AI Laboratory, China（上海人工智能实验室） ； The University of Adelaide, Australia（阿德莱德大学） 纠错

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

Comments 11 pages

Flatfish Lesion Detection Based on Part Segmentation Approach and Lesion Image Generation

Seo-Bin Hwang, Han-Young Kim, Chae-Yeon Heo, Hie-Yong Jeong, Sung-Ju Jung, Yeong-Jun Cho

机构 * Dept. AI Convergence Chonnam National University（人工智能融合系全南国立大学） ； Dept. Marine and Fisheries Science Chonnam National University（海洋与渔业科学系全南国立大学） 纠错

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

Comments 16 page, 13 figures, 4 tables

Are generative models fair? A study of racial bias in dermatological image generation

Miguel López-Pérez, Søren Hauberg, Aasa Feragen

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

Comments Under review

Multi class activity classification in videos using Motion History Image generation

Senthilkumar Gopal

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

Comments 5 pages, 9 images

Learning Visual Grounding from Generative Vision and Language Model

Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo

专题命中 其他图像生成 ：generative vision(title)；分类 cs.CV

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng

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

CLoG: Benchmarking Continual Learning of Image Generation Models

Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang

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

GAN with Skip Patch Discriminator for Biological Electron Microscopy Image Generation

Nishith Ranjon Roy, Nailah Rawnaq, Tulin Kaman

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

Comments 4 pages, International Conference on Computational and Mathematical Biomedical Engineering

Manifold Constraint Regularization for Remote Sensing Image Generation

Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong

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

Mitigating attribute amplification in counterfactual image generation

Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker

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

Few-shot Image Generation via Information Transfer from the Built Geodesic Surface

Yuexing Han, Liheng Ruan, Bing Wang

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

Image Generation and Learning Strategy for Deep Document Forgery Detection

Yamato Okamoto, Osada Genki, Iu Yahiro, Rintaro Hasegawa, Peifei Zhu, Hirokatsu Kataoka

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

Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces

Ayberk Aydin, Alptekin Temizel

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

Journal ref Pattern Recognition Letters, Volume 174, October 2023, Pages 92-98

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN

Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger

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

Comments 8 pages, 8 figures

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha

专题命中 其他图像生成 ：generative vision(title)；分类 cs.CV

Comments Accepted in Vision Datasets Understanding at CVPR 2023

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models

Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe

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

Image Generation Network for Covert Transmission in Online Social Network

Zhengxin You, Qichao Ying, Sheng Li, Zhenxing Qian, Xinpeng Zhang

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

Comments ACMMM2022 Poster

Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach

Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza, Vahid Foroughi, Elsa Pastor, Gerardo Rodriguez-Hernandez

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

Comments Pre-print submitted to Engineering Science and Technology, an International Journal

Generative Convolution Layer for Image Generation

Seung Park, Yong-Goo Shin

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

Comments Submitted to Neural Networks

Journal ref Neural Networks 2022