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 77 / 104 页
- ICLR 2024Enhancing Instance-Level Image Classification with Set-Level Labels
- ICLR 2024Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
- ICLR 2024Exposing Text-Image Inconsistency Using Diffusion Models
- ICLR 2024Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
- ICLR 2024Federated Text-driven Prompt Generation for Vision-Language Models
- ICLR 2024Few-shot Hybrid Domain Adaptation of Image Generator
- ICLR 2024Finetuning Text-to-Image Diffusion Models for Fairness
- ICLR 2024FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
- ICLR 2024Frequency-Aware Transformer for Learned Image Compression
- ICLR 2024From Posterior Sampling to Meaningful Diversity in Image Restoration
- ICLR 2024GAIA: Zero-shot Talking Avatar Generation
- ICLR 2024GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
- ICLR 2024Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
- ICLR 2024GIM: Learning Generalizable Image Matcher From Internet Videos
- ICLR 2024GPAvatar: Generalizable and Precise Head Avatar from Image(s)
- ICLR 2024Graph Generation with $K^2$-trees
- ICLR 2024Guiding Instruction-based Image Editing via Multimodal Large Language Models
- ICLR 2024HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
- ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
- ICLR 2024HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
- ICLR 2024Idempotence and Perceptual Image Compression
- ICLR 2024Image Background Serves as Good Proxy for Out-of-distribution Data
- ICLR 2024Image Clustering Conditioned on Text Criteria
- ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
- ICLR 2024Image Inpainting via Iteratively Decoupled Probabilistic Modeling
- ICLR 2024Image Inpainting via Tractable Steering of Diffusion Models
- ICLR 2024Image Translation as Diffusion Visual Programmers
- ICLR 2024Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
- ICLR 2024ImagenHub: Standardizing the evaluation of conditional image generation models
- ICLR 2024Improved Probabilistic Image-Text Representations
- ICLR 2024IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
- ICLR 2024InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
- ICLR 2024Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
- ICLR 2024InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
- ICLR 2024Interpretable Diffusion via Information Decomposition
- ICLR 2024Interpreting CLIP's Image Representation via Text-Based Decomposition
- ICLR 2024IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
- ICLR 2024Is Self-Repair a Silver Bullet for Code Generation?
- ICLR 2024Jointly Training Large Autoregressive Multimodal Models
- ICLR 2024JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
- ICLR 2024Kosmos-G: Generating Images in Context with Multimodal Large Language Models
- ICLR 2024L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
- ICLR 2024Language Model Beats Diffusion - Tokenizer is key to visual generation
- ICLR 2024Language-Informed Visual Concept Learning
- ICLR 2024Large-Vocabulary 3D Diffusion Model with Transformer
- ICLR 2024LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
- ICLR 2024Learning Hierarchical Image Segmentation For Recognition and By Recognition
- ICLR 2024Less is More: Fewer Interpretable Region via Submodular Subset Selection
- ICLR 2024Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
- ICLR 2024Lipschitz Singularities in Diffusion Models
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。