Image Generation

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Overview

Image generation studies how to produce realistic, useful images from inputs such as text prompts, reference pictures, sketches, spatial layouts, or scientific measurements. Common approaches include diffusion and flow-matching models that refine images step by step, autoregressive models that generate visual tokens in sequence, and GANs used in some specialized settings. Researchers improve control and efficiency with techniques such as reference conditioning, geometric constraints, preference optimization, and iterative agent feedback, and evaluate results on benchmarks such as ImageNet, COCO, and GenEval as well as domain-specific tasks. A central challenge is balancing visual quality, prompt accuracy, identity and structural consistency, diversity, and generation cost; realistic appearance alone does not guarantee that an image is correct or safe.

Latest papers

CardsList

474 papers63 papers in the last four weeks, up 75% on the four weeks before. 0.4% of all new papers.

  1. BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models

    Mar 10, 2026Daniel Grimes, Rachel M. HarrisonImage GenerationHuman-AI Co-Creation

    Visual-Synthesizer.com Grass Valley, CA 95945 · Ophiuchus LLC Dover, DE 19904

  2. Well Log-Guided Synthesis of Subsurface Images from Sparse Petrography Data Using cGANs

    Mar 10, 2026Ali Sadeghkhani, A. Assadi, B. Bennett +1Image GenerationComputational Imaging

    School of Computer Science, University of Leeds, Leeds, UK · TEC

  3. Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion

    Mar 10, 2026Ali Zia, Muhammad Umer Ramzan, Usman Ali +3Image GenerationConditional Image Generation

    School of Computing, Engineering and Mathematical Sciences La Trobe University. · Gujranwala Institute of Future Technologies(GIFT) University. · Data61, CSIRO. +1

  4. VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic Model

    Mar 9, 2026Jinxiang Lai, Wenzhe Zhao, Zexin Lu +7Image GenerationAgentic Image Generation

    Hong Kong University of Science and Technology · Tencent Hunyuan

  5. CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation

    Mar 9, 2026Haodong Li, Chunmei Qing, Huanyu Zhang +11T2I GenerationImage Generation

    The Chinese University of Hong Kong · South China University of Technology · Institute of Automation, Chinese Academy of Sciences +1

  6. CONSTANT: Towards High-Quality One-Shot Handwriting Generation with Patch Contrastive Enhancement and Style-Aware Quantization

    Mar 8, 2026Anh-Duy Le, Van-Linh Pham, Thanh-Nam Vo +2Image GenerationDiffusion-Based Image Generation

    Viettel Artificial Intelligence and Data Services Center, Vietnam · Ho Chi Minh City University of Technology, Vietnam

  7. Image Generation Models: A Technical History

    Mar 8, 2026Rouzbeh ShirvaniImage GenerationDiffusion-Based Image Generation

  8. PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering

    Mar 7, 2026Trong-Thang Pham, Loc Nguyen, Anh Nguyen +2Counterfactual Image GenerationMedical Image Synthesis

    University of Arkansas, Fayetteville AR, USA · University of Liverpool, Liverpool, UK · University of Houston, Houston TX, USA

  9. Pinterest Canvas: Large-Scale Image Generation at Pinterest

    Mar 6, 2026Yu Wang, Eric Tzeng, Raymond Shiau +3Image GenerationDiffusion-Based Image Editing

    Pinterest, Inc. San Francisco, CA, USA

  10. The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks

    Mar 6, 2026Anca Dinu, Andreiana Mihail, Andra-Maria Florescu +1Image GenerationImage Generation Evaluation

    University of Bucharest, ISDS, 90 Panduri Road, Bucharest, 050107, Romania

  11. Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks

    Mar 6, 2026Saadet Müzehher ErenVariational AutoencodersQuantum Generative Modeling

    Department of Physics, Izmir Institute of Technology, Gülbahçe, Urla, 35430, Izmir, Turkey.

  12. Beyond Geometry: Artistic Disparity Synthesis for Immersive 2D-to-3D

    Mar 6, 2026Ping Chen, Zezhou Chen, Xingpeng Zhang +8Image Generation

    Data Science & Artificial Intelligence Research Institute, China Unicom · Unicom Data Intelligence, China Unicom · School of Computer Science and Software Engineering, Southwest Petroleum University +2

  13. InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation

    Mar 6, 2026Yuxin Qin, Ke Cao, Haowei Liu +13Image GenerationCompositional Image Generation

    JD.com, Inc., Beijing, China · Chongqing University of Posts and Telecommunications, Chongqing, China · The Hong Kong University of Science and Technology, Hong Kong, China +1

  14. Scalable Evaluation of the Realism of Synthetic Environmental Augmentations in Images

    Mar 4, 2026Damian J. Ruck, Paul Vautravers, Oliver Chalkley +1Synthetic Data EvaluationImage Editing Evaluation

    Advai Ltd, 20–22 Wenlock Road, London, N1 7GU, United Kingdom

  15. AutoFigure-Edit: Generating Editable Scientific Illustration

    Mar 3, 2026Zhen Lin, Qiujie Xie, Minjun Zhu +10Scientific VisualizationText-to-SVG Generation

    Engineering School, Westlake University · Zhejiang University · Soochow University

  16. HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

    Mar 2, 2026Yichen Liu, Donghao Zhou, Jie Wang +9Image GenerationImage Inpainting

    University of Chinese Academy of Sciences · The Chinese University of Hong Kong · ByteDance +2

  17. Data-Efficient Brushstroke Generation with Diffusion Models for Oil Painting

    Mar 1, 2026Dantong Qin, Alessandro Bozzon, Xian Yang +3Generative ModelingImage Generation

    Delft University of Technology, Delft, Netherlands · The University of Manchester, Manchester, UK · The Hong Kong University of Science and Technology, Kowloon, HKSAR

  18. IdGlow: Dynamic Identity Modulation for Multi-Subject Generation

    Feb 28, 2026Honghao Cai, Xiangyuan Wang, Jing Li +15Multi-Subject Image GenerationImage Generation

    Xiaohongshu Inc. · The Chinese University of Hong Kong, Shenzhen · Peking University +1

  19. Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation

    Feb 27, 2026Jonas Jäger, Florian J. Kiwit, Carlos A. RiofríoQuantum Generative ModelingImage Generation

    BMW Group, Munich, Germany · Department of Computer Science and Institute of Applied Mathematics, University of British Columbia (UBC), Vancouver, Canada · Stewart Blusson Quantum Matter Institute (QMI), Vancouver, Canada +1

  20. Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling

    Feb 26, 2026Jasmine Bayrooti, Weiwei Kong, Natalia Ponomareva +3Image GenerationDifferential Privacy

    University of Cambridge

  21. Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?

    Feb 26, 2026Hongyu Li, Kuan Liu, Yuan Chen +6Image GenerationImage Generation Evaluation

    Harbin Institute of Technology, Shenzhen · City University of Hong Kong · Chinese University of Hong Kong +1

  22. CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation

    Feb 25, 2026YuXin Song, Yu Lu, Haoyuan Sun +6Image GenerationConditional Image Generation

    Baidu Inc. · Zhejiang University · Tsinghua University

  23. DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion

    Feb 25, 2026Marcel Lamott, Saifullah Saifullah, Nauman Riaz +11Synthetic Data GenerationSynthetic Data Augmentation

    RheinMain University of Applied Sciences, Wiesbaden, Germany · German Research Center for Artificial Intelligence, Kaiserslautern, Germany · DeepReader GmbH, Kaiserslautern, Germany +2

  24. FlowFixer: Towards Detail-Preserving Subject-Driven Generation

    Feb 24, 2026Jinyoung Jun, Won-Dong Jang, Wenbin Ouyang +2Subject-Driven Image GenerationImage Generation

    Amazon · Korea University

  25. Momentum Guidance: Plug-and-Play Guidance for Flow Models

    Feb 23, 2026Runlong Liao, Jian Yu, Baiyu Su +3Momentum MethodsDiffusion Guidance

    The University of Texas at Austin, Austin, TX 78712, USA

  26. RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection

    Feb 23, 2026Tianyu Wang, Zhiyuan Ma, Qian Wang +3Image GenerationControllable Image Generation

    Tianyu Wang is with the Zhiyuan College, Shanghai Jiao Tong University · Zhiyuan Ma is with the Huazhong University of Science and Technology · Qian Wang is with the National University of Singapore +3

  27. MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models

    Feb 23, 2026Mingrui Wu, Hang Liu, Jiayi Ji +2Image GenerationUnified Multimodal Models

    Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China. · Zhongguancun Academy, Beijing, China.100094.

  28. CRAFT-LoRA: Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion

    Feb 21, 2026Yu Li, Yujun Cai, Chi ZhangImage GenerationT2I Diffusion Models

    AGI Lab, Westlake University · George Washington University · The University of Queensland

  29. IDperturb: Enhancing Variation in Synthetic Face Generation via Angular Perturbation

    Feb 21, 2026Fadi Boutros, Eduarda Caldeira, Tahar Chettaoui +1Synthetic Data GenerationFace Recognition

    Fraunhofer Institute for Computer Graphics Research IGD, Germany · TU Darmstadt, Germany

  30. MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations

    Feb 21, 2026Changlu Guo, Anders Nymark Christensen, Anders Bjorholm Dahl +1Counterfactual Image GenerationCounterfactual Explanations

    Technical University of Denmark, Denmark