图像生成论文趋势 2023–2026
文生图与图像合成
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 5,184 篇被归入该主题的论文。
主要结论
- 图像生成论文从 2023 年的 780 篇增长到 2026 年的 1,721 篇,三年间扩大到约 2.2 倍。
- CVPR 是发图像生成论文最多的会议,2023–2026 年共 2,262 篇,占四个会议总量的 44%。
- 交叉方向里涨得最快的是深度学习 · generative models and autoencoders:同时属于两个主题的论文从 2023 年的 35 篇增至 2026 年的 150 篇。
- 在「计算机视觉」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的视频理解是 2.6 倍,图像生成是 2.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 170 | 118 | 74 | 418 | 780 |
| 2024 | 318 | 199 | 156 | 543 | 1,216 |
| 2025 | 430 | 278 | 147 | 612 | 1,467 |
| 2026 | 453 | 349 | 230 | 689 | 1,721 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
- ICML 2026Klein Hyperbolic Metric Learning
- ICLR 2026A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
- CVPR 2026Adaptive Learned Image Compression with Graph Neural Networks
- NeurIPS 2025Alchemist: Turning Public Text-to-Image Data into Generative Gold
- ICML 2025BiMark: Unbiased Multilayer Watermarking for Large Language Models
- ICLR 2025Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
- CVPR 2025A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
- NeurIPS 2024Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines
- ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
- ICLR 2024AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
- CVPR 2024DemoCaricature: Democratising Caricature Generation with a Rough Sketch
- NeurIPS 20234D Panoptic Scene Graph Generation
- ICML 2023Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
- ICLR 2023Accurate Image Restoration with Attention Retractable Transformer
- CVPR 20233D GAN Inversion With Facial Symmetry Prior
- NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
- ICML 2026Noisy-Channel Minimum Bayes Risk Decoding
- ICLR 2026All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning
- CVPR 2026AIMDepth Asymmetric Image-Event Mamba for Monocular Depth Estimation
全部图像生成论文
共 278 篇,第 4 / 6 页
- ICLR 2025Infinite-Resolution Integral Noise Warping for Diffusion Models
- ICLR 2025Information Theoretic Text-to-Image Alignment
- ICLR 2025InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
- ICLR 2025Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
- ICLR 2025InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
- ICLR 2025Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
- ICLR 2025IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
- ICLR 2025IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
- ICLR 2025IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
- ICLR 2025IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
- ICLR 2025JetFormer: An autoregressive generative model of raw images and text
- ICLR 2025LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
- ICLR 2025Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint
- ICLR 2025Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
- ICLR 2025Learning Interleaved Image-Text Comprehension in Vision-Language Large Models
- ICLR 2025Learning Mask Invariant Mutual Information for Masked Image Modeling
- ICLR 2025Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
- ICLR 2025Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
- ICLR 2025Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
- ICLR 2025LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
- ICLR 2025Local Patterns Generalize Better for Novel Anomalies
- ICLR 2025Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection
- ICLR 2025Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
- ICLR 2025MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
- ICLR 2025MagicPIG: LSH Sampling for Efficient LLM Generation
- ICLR 2025MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
- ICLR 2025MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
- ICLR 2025Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
- ICLR 2025Measuring And Improving Engagement of Text-to-Image Generation Models
- ICLR 2025Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
- ICLR 2025MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
- ICLR 2025Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
- ICLR 2025Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
- ICLR 2025MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
- ICLR 2025Morphing Tokens Draw Strong Masked Image Models
- ICLR 2025MotionClone: Training-Free Motion Cloning for Controllable Video Generation
- ICLR 2025MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
- ICLR 2025Multi-Reward as Condition for Instruction-based Image Editing
- ICLR 2025Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
- ICLR 2025Natural Language Inference Improves Compositionality in Vision-Language Models
- ICLR 2025Neural networks on Symmetric Spaces of Noncompact Type
- ICLR 2025Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
- ICLR 2025OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes
- ICLR 2025OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
- ICLR 2025OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
- ICLR 2025On Disentangled Training for Nonlinear Transform in Learned Image Compression
- ICLR 2025One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
- ICLR 2025One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
- ICLR 2025OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
- ICLR 2025Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查图像生成在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "image-generation"}
常见问题
- 2023–2026 年四大会议一共有多少篇图像生成论文?
- 共 5,184 篇,按年份分别是 2023 年 780 篇、2024 年 1,216 篇、2025 年 1,467 篇、2026 年 1,721 篇。
- NeurIPS 2026 有多少篇图像生成论文?
- NeurIPS 2026 有 453 篇图像生成论文,上一届是 430 篇。
- ICLR 2026 有多少篇图像生成论文?
- ICLR 2026 有 349 篇图像生成论文,上一届是 278 篇。
- ICML 2026 有多少篇图像生成论文?
- ICML 2026 有 230 篇图像生成论文,上一届是 147 篇。
- CVPR 2026 有多少篇图像生成论文?
- CVPR 2026 有 689 篇图像生成论文,上一届是 612 篇。
- 哪个会议的图像生成论文最多?
- CVPR,2023–2026 年共 2,262 篇。