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 5,184 篇，第 81 / 104 页
- ICML 2024Implicit Representations via Operator Learning
- ICML 2024Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
- ICML 2024Improving fine-grained understanding in image-text pre-training
- ICML 2024Improving Open-Ended Text Generation via Adaptive Decoding
- ICML 2024Instruction Tuning for Secure Code Generation
- ICML 2024Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
- ICML 2024Interpreting Equivariant Representations
- ICML 2024Kepler codebook
- ICML 2024KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
- ICML 2024LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
- ICML 2024Language Generation with Strictly Proper Scoring Rules
- ICML 2024Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
- ICML 2024Learning to Compile Programs to Neural Networks
- ICML 2024Learning Universal Predictors
- ICML 2024Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
- ICML 2024Leveraging VLM-Based Pipelines to Annotate 3D Objects
- ICML 2024Lightweight Image Super-Resolution via Flexible Meta Pruning
- ICML 2024MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
- ICML 2024Magicoder: Empowering Code Generation with OSS-Instruct
- ICML 2024Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
- ICML 2024MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution
- ICML 2024MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
- ICML 2024MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
- ICML 2024MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
- ICML 2024Model-Based Minimum Bayes Risk Decoding for Text Generation
- ICML 2024MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
- ICML 2024MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
- ICML 2024Neural Diffusion Models
- ICML 2024Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
- ICML 2024Non-confusing Generation of Customized Concepts in Diffusion Models
- ICML 2024Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
- ICML 2024On Mechanistic Knowledge Localization in Text-to-Image Generative Models
- ICML 2024On the Trajectory Regularity of ODE-based Diffusion Sampling
- ICML 2024Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
- ICML 2024PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
- ICML 2024PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
- ICML 2024Plug-and-Play image restoration with Stochastic deNOising REgularization
- ICML 2024Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
- ICML 2024Position: Towards Implicit Prompt For Text-To-Image Models
- ICML 2024Position: What makes an image realistic?
- ICML 2024Post-hoc Part-Prototype Networks
- ICML 2024Probabilistic Generating Circuits - Demystified
- ICML 2024Prompt Sketching for Large Language Models
- ICML 2024Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
- ICML 2024Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
- ICML 2024Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency
- ICML 2024Quantum Implicit Neural Representations
- ICML 2024RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
- ICML 2024Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
- ICML 2024ReGAL: Refactoring Programs to Discover Generalizable Abstractions
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。