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 944 篇，第 14 / 19 页
- ICLR 2024CAS: A Probability-Based Approach for Universal Condition Alignment Score
- ICLR 2024Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
- ICLR 2024Circumventing Concept Erasure Methods For Text-To-Image Generative Models
- ICLR 2024CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
- ICLR 2024Closing the Curious Case of Neural Text Degeneration
- ICLR 2024CoBIT: A Contrastive Bi-directional Image-Text Generation Model
- ICLR 2024COLLIE: Systematic Construction of Constrained Text Generation Tasks
- ICLR 2024Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
- ICLR 2024Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
- ICLR 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
- ICLR 2024Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
- ICLR 2024Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
- ICLR 2024ContextRef: Evaluating Referenceless Metrics for Image Description Generation
- ICLR 2024Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
- ICLR 2024Controlled Text Generation via Language Model Arithmetic
- ICLR 2024ControlVideo: Training-free Controllable Text-to-video Generation
- ICLR 2024CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
- ICLR 2024Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
- ICLR 2024Data Filtering Networks
- ICLR 2024Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
- ICLR 2024Demystifying CLIP Data
- ICLR 2024Denoising Diffusion via Image-Based Rendering
- ICLR 2024Detecting, Explaining, and Mitigating Memorization in Diffusion Models
- ICLR 2024DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
- ICLR 2024DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
- ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
- ICLR 2024Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
- ICLR 2024Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
- ICLR 2024DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
- ICLR 2024Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
- ICLR 2024DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
- ICLR 2024DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
- ICLR 2024Does Writing with Language Models Reduce Content Diversity?
- ICLR 2024DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
- ICLR 2024Domain-Agnostic Molecular Generation with Chemical Feedback
- ICLR 2024DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
- ICLR 2024DreamClean: Restoring Clean Image Using Deep Diffusion Prior
- ICLR 2024DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
- ICLR 2024DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
- ICLR 2024DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
- ICLR 2024DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
- ICLR 2024Efficient and Scalable Graph Generation through Iterative Local Expansion
- ICLR 2024Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
- ICLR 2024Elucidating the design space of classifier-guided diffusion generation
- ICLR 2024End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
- ICLR 2024Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
- 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
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。