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 607 篇，第 6 / 13 页
- ICML 2025Contrastive Localized Language-Image Pre-Training
- ICML 2025Contrastive Visual Data Augmentation
- ICML 2025Control and Realism: Best of Both Worlds in Layout-to-Image without Training
- ICML 2025Controllable Data Generation with Hierarchical Neural Representations
- ICML 2025CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
- ICML 2025DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space
- ICML 2025DEALing with Image Reconstruction: Deep Attentive Least Squares
- ICML 2025Deep Unsupervised Hashing via External Guidance
- ICML 2025DeFoG: Discrete Flow Matching for Graph Generation
- ICML 2025Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
- ICML 2025Diffusion Adversarial Post-Training for One-Step Video Generation
- ICML 2025Diffusion Counterfactual Generation with Semantic Abduction
- ICML 2025Dimension-Independent Rates for Structured Neural Density Estimation
- ICML 2025Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning
- ICML 2025Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
- ICML 2025Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion
- ICML 2025Effective and Efficient Masked Image Generation Models
- ICML 2025EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
- ICML 2025Elucidating the design space of language models for image generation
- ICML 2025Enforcing Idempotency in Neural Networks
- ICML 2025Enhancing Visual Localization with Cross-Domain Image Generation
- ICML 2025EpiCoder: Encompassing Diversity and Complexity in Code Generation
- ICML 2025Epsilon-VAE: Denoising as Visual Decoding
- ICML 2025EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
- ICML 2025Event-Customized Image Generation
- ICML 2025Exponential Family Variational Flow Matching for Tabular Data Generation
- ICML 2025FDGen: A Fairness-Aware Graph Generation Model
- ICML 2025Feature out! Let Raw Image as Your Condition for Blind Face Restoration
- ICML 2025FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
- ICML 2025FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation
- ICML 2025FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
- ICML 2025FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
- ICML 2025FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
- ICML 2025FrameBridge: Improving Image-to-Video Generation with Bridge Models
- ICML 2025FreeMesh: Boosting Mesh Generation with Coordinates Merging
- ICML 2025Generation from Noisy Examples
- ICML 2025Geometry Informed Tokenization of Molecules for Language Model Generation
- ICML 2025Graph Generative Pre-trained Transformer
- ICML 2025GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
- ICML 2025Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
- ICML 2025HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion
- ICML 2025Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It
- ICML 2025Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots
- ICML 2025High Dynamic Range Novel View Synthesis with Single Exposure
- ICML 2025Highly Compressed Tokenizer Can Generate Without Training
- ICML 2025How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
- ICML 2025Improving Compositional Generation with Diffusion Models Using Lift Scores
- ICML 2025Improving the Diffusability of Autoencoders
- ICML 2025Instruct2See: Learning to Remove Any Obstructions Across Distributions
- ICML 2025Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
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。