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. HairDeck: Animation-Ready Stylized Hair Cards from a Single Image

    Oct 29, 2026Yuze He, Yixiang Wei, Wang Zhao +33D Asset GenerationArticulated 3D Asset Generation

    Tsinghua University · Carnegie Mellon University · The Chinese University of Hong Kong

  2. PhysInsert: Physically Plausible Object Insertion with Geometric Priors and Bidirectional Object-Scene Interactions

    Oct 29, 2026Yue Gong, Le Zhang, Rui Chen +5Image GenerationGeometry-Conditioned Image Generation

    School of Computer Science and Engineering, Beihang University · MT Lab, Meitu Inc. · Department of Automation, Tsinghua University

  3. AdMuse: Skill-Guided Creative Advertising Image Generation

    Oct 29, 2026Minyan Luo, Yuxin Zhang, Meng Zhao +6Image GenerationAgentic Image Generation

    MAIS, Institute of Automation, CAS Beijing, China · School of Artificial Intelligence, UCAS Beijing, China · Shanghai Theatre Academy Shanghai, China +4

  4. SynthFaces: Balanced Large Scale Human Dataset

    Oct 29, 2026Sergey Karpukhin, Denis Bobkov, Kirill Morozov +1Synthetic Data GenerationImage Generation

    FusionBrain Lab, AXXX Moscow, Russia · HSE University Moscow, Russia · MSU Moscow, Russia

  5. EPC-RawDC: Equivariant Physics Constrained 3D Diffusion with Raw Data Consistency for CBCT to CT Image Synthesis

    Oct 29, 2026Alzahra Altalib, Chunhui Li, Alessandro PerelliMedical Image SynthesisCone-Beam CT

    Faculty of Science, Engineering and Business, University of Dundee, DD1 4HN, UK. · Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, 21410, Jordan · School of Cardiovascular and Metabolic Health, University of Glasgow, G12 8TA (UK).

  6. MorphSIG: Subject-Driven Image Generation via Decoupled Anchoring and Feature Transport

    Oct 29, 2026Hailong Yan, Yongrui Zhang, Xiangtao Zhang +1Subject-Driven Image GenerationImage Generation

    UESTC · Hohai University

  7. PicturePerfect: Diffusion-based Same-identity Facial Replacement

    Oct 29, 2026Manik Dhingra, Yashesh Savani, Mahesh Reddy +3Identity-Preserving Image GenerationDiffusion-Based Image Editing

    Qualcomm AI Research⋆⋆

  8. Unlocking Any-Order Generation in Pretrained Autoregressive Image Models

    Oct 29, 2026Rishav Pramanik, Marco Pedersoli, Zhaozheng YinAutoregressive Image GenerationImage Generation

    Stony Brook University, New York, USA · International Laboratory on Learning Systems (ILLS) · LIVIA, ÉTS Montréal, QC, Canada

  9. The Search for Statistical Indistinguishability Between Real and Fake Images

    Oct 28, 2026Mohaimin Rafi, Otavio Moraes Rosa, Anshuman Chhabra +1Image Generation EvaluationAI-Generated Image Detection

    University of South Florida

  10. Structure-retained low-rank adapters for weather synthesis

    Oct 28, 2026Shunxin Wang, Alexandros Stergiou, Luuk Spreeuwers +2Image GenerationSynthetic Data Augmentation

    work done while at the University of Twente

  11. ALADDIN: Adversarial Latent Diffusion Distillation for One-Step Identity Swapping

    Oct 27, 2026Ivan Shchekotov, Timofei Gritsaev, Viacheslav Pirogov +1Image GenerationDiffusion Model Distillation

    Constructor University, Bremen, Germany · Sumsub, Berlin, Germany

  12. Beyond the Estimate: Wiener-Informed Decoding for Easier Training of Pixel-Space Flow Models

    Oct 26, 2026Ziqiao Wang, Yang YouFlow-Based Generative ModelingImage Generation

    NUS HPC-AI Lab

  13. DiffAuction: An Auction-Driven Framework for Generative Image Advertising

    Oct 26, 2026Yijie Su, Ruiyang Si, Tonghan WangImage GenerationControllable Image Generation

    Tongji University · Tsinghua University · Shanghai Qi Zhi Institute

  14. ToDoPro: Faster and Better Reference-Based Generation: Early Token Reduction via Downsampled Self-Probing

    Oct 26, 2026Caiyi Sun, Yujing Sun, Siu-Ming YiuImage GenerationDiffusion Model Inference Acceleration

    The University of Hong Kong · Nanyang Technological University

  15. Timing Matters Twice: When to Query and When to Skip in Flow-Matching On-Policy Distillation

    Oct 25, 2026Renye Yan, Junyi Zhan, Jikang Cheng +1On-Policy DistillationFlow-Based Generative Modeling

    Peking University · Stanford University

  16. Rethinking Microscopy Generation: Co-Designed Diffusion for Biologically Interpretable Single-Cell Synthesis

    Oct 24, 2026Shumpei Takezaki, Duway Nicolas Lesmes-Leon, Ryoma Bise +4Image GenerationControllable Image Generation

    Kyushu University, Fukuoka, Japan · University of Kaiserslautern-Landau (RPTU), Kaiserslautern, Germany · German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany +1

  17. MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation

    Oct 23, 2026Bowen Zheng, Jintao Lin, Changheng Yi +5Image GenerationImage Generation Evaluation

    Nanjing University · The University of Hong Kong · Huawei Research

  18. AlphaAnything: Extending Pretrained RGB Generators to RGBA

    Oct 23, 2026Qijie Wang, Zhixin Xu, Zhe Li +5Image GenerationT2I Diffusion Models

    Tsinghua University · ByteDance · Peking University

  19. Representation Learning via Composite Subspace Flow Matching

    Oct 23, 2026José Afonso, Mário FigueiredoSelf-Supervised Visual Representation LearningFlow Matching

    Instituto Superior Técnico, Lisboa, Portugal · Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal

  20. Forging Emotions: a deep learning experiment on emotions and art

    Oct 23, 2026Amalia FokaImage GenerationAffective Computing

    University of Ioannina

  21. ImageRSI: Verification-Driven Recursive Self-Improvement for Agentic Image Generation

    Oct 23, 2026Shuo Han, Zhilin Wang, Peng Ling +5Agentic Image GenerationImage Generation

    University of Science and Technology of China · Qwen Business Unit of Alibaba, Alibaba Token Hub · Xidian University

  22. Scaling Transformer Energy-based Models For High Quality Image Synthesis

    Oct 22, 2026Jungsoo Lee, Alexi Gladstone, Yilun DuImage GenerationEnergy-Based Models

    MIT · UIUC · Harvard University

  23. Squaring-the-Sphere: Distortion-Free and Seamless Panorama Generation via CubeAtlas

    Oct 22, 2026Xuhui Zuo, Chenjie Cao, Tengfei Wang +3Image GenerationDiffusion-Based Image Generation

    Tencent

  24. SciFusion: Physics-Guided Compositional Diffusion for Multimodal 3D Scientific Image Generation

    Oct 21, 2026Luoxi Wang, Alessio Quercia, Hanno Scharr +1Image GenerationMultimodal Diffusion Models

    Princeton University, Princeton, NJ, USA · Forschungszentrum Jülich, Jülich, Germany

  25. Trajectory Replay: Continuous-Time Mixture Transport for Lifelong Generative Models

    Oct 19, 2026Alessandro Palma, Charles Jones, Tristan Cinquin +2Generative ModelingGenerative Replay

    Helmholtz Munich · Technical University of Munich · Munich Center for Machine Learning +3

  26. Multi-View Structural Representations for Physically-Consistent TeX Generation

    Oct 19, 2026Daoheng Li, Jianjun Qian*, Mengkai Yan +1Image GenerationPhysics-Informed Generative Modeling

    Nanjing University of Science and Technology, Nanjing, Jiangsu, China · Hohai University, Nanjing, Jiangsu, China

  27. ATLAS: Attention-Guided Test-Time Latent Selection for Compositional Visual Autoregressive Generation

    Oct 18, 2026Hossein Shahabadi, Raya Namazi, Mahdieh Soleymani BaghshahImage GenerationCompositional T2I Generation

    Sharif University of Technology

  28. Knowledge Diversion: A Novel Paradigm for Pre-training Decomposable Image Generation Models

    Oct 17, 2026Yucheng Xie, Fu Feng, Ruixiao Shi +3Image GenerationConditional Generative Modeling

    School of Computer Science and Engineering, Southeast University, Nanjing, China and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China

  29. Controllable Multi-Object Insertion for Detection Data Augmentation

    Oct 17, 2026Jiyang Huang, Tianwei Zhang, Xiaoqin Zhang +2Synthetic Data AugmentationData Augmentation

    Nanyang Technological University · Zhejiang University of Technology · University of the Chinese Academy of Sciences

  30. SCALE: Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation

    Oct 16, 2026Jiwan Hur, Dong-Jae Lee, Dongyeun Lee +2Image GenerationDiffusion Model Guidance

    KAIST, South Korea