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 1,216 篇，第 14 / 25 页
- 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
- ICLR 2024LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
- ICLR 2024LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
- ICLR 2024LLM-grounded Video Diffusion Models
- ICLR 2024Localizing and Editing Knowledge In Text-to-Image Generative Models
- ICLR 2024LRM: Large Reconstruction Model for Single Image to 3D
- ICLR 2024Machine Unlearning for Image-to-Image Generative Models
- ICLR 2024MaGIC: Multi-modality Guided Image Completion
- ICLR 2024Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
- ICLR 2024MagicDrive: Street View Generation with Diverse 3D Geometry Control
- ICLR 2024Manifold Preserving Guided Diffusion
- ICLR 2024Matryoshka Diffusion Models
- ICLR 2024Mean Field Theory in Deep Metric Learning
- ICLR 2024Meaning Representations from Trajectories in Autoregressive Models
- ICLR 2024Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
- ICLR 2024MixSATGEN: Learning Graph Mixing for SAT Instance Generation
- ICLR 2024MOFI: Learning Image Representations from Noisy Entity Annotated Images
- ICLR 2024Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
- ICLR 2024Multilinear Operator Networks
- ICLR 2024Multisize Dataset Condensation
- ICLR 2024MVDream: Multi-view Diffusion for 3D Generation
- ICLR 2024Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
- ICLR 2024NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
- ICLR 2024Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
- ICLR 2024Noise-free Score Distillation
- ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
- ICLR 2024Object-Aware Inversion and Reassembly for Image Editing
- ICLR 2024OmniControl: Control Any Joint at Any Time for Human Motion Generation
- ICLR 2024On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
- ICLR 2024PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
- ICLR 2024Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
- ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
- ICLR 2024Perceptual Group Tokenizer: Building Perception with Iterative Grouping
- ICLR 2024Personalize Segment Anything Model with One Shot
- ICLR 2024PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
- ICLR 2024Pre-training with Random Orthogonal Projection Image Modeling
- ICLR 2024Probabilistic Adaptation of Black-Box Text-to-Video Models
- ICLR 2024Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
- ICLR 2024PromptTTS 2: Describing and Generating Voices with Text Prompt
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。