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 74 篇,第 1 / 2 页
- ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
- ICML 2023Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
- ICML 2023Attributing Image Generative Models using Latent Fingerprints
- ICML 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
- ICML 2023Autoregressive Diffusion Model for Graph Generation
- ICML 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
- ICML 2023CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
- ICML 2023Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
- ICML 2023CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
- ICML 2023Coder Reviewer Reranking for Code Generation
- ICML 2023Composer: Creative and Controllable Image Synthesis with Composable Conditions
- ICML 2023Controlled Text Generation with Natural Language Instructions
- ICML 2023Data Representations' Study of Latent Image Manifolds
- ICML 2023Deep Latent State Space Models for Time-Series Generation
- ICML 2023Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
- ICML 2023Dirichlet Diffusion Score Model for Biological Sequence Generation
- ICML 2023Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
- ICML 2023DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
- ICML 2023Evidential Interactive Learning for Medical Image Captioning
- ICML 2023Exploring Chemical Space with Score-based Out-of-distribution Generation
- ICML 2023Extrapolative Controlled Sequence Generation via Iterative Refinement
- ICML 2023Fourmer: An Efficient Global Modeling Paradigm for Image Restoration
- ICML 2023Geometric Latent Diffusion Models for 3D Molecule Generation
- ICML 2023Hierarchical Neural Coding for Controllable CAD Model Generation
- ICML 2023Hyperbolic Image-text Representations
- ICML 2023I$^2$SB: Image-to-Image Schrödinger Bridge
- ICML 2023Identifying Interpretable Subspaces in Image Representations
- ICML 2023Image generation with shortest path diffusion
- ICML 2023Image Restoration with Mean-Reverting Stochastic Differential Equations
- ICML 2023Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
- ICML 2023Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
- ICML 2023IRNeXt: Rethinking Convolutional Network Design for Image Restoration
- ICML 2023Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
- ICML 2023MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
- ICML 2023MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
- ICML 2023mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
- ICML 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
- ICML 2023Muse: Text-To-Image Generation via Masked Generative Transformers
- ICML 2023NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
- ICML 2023Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
- ICML 2023Nugget: Neural Agglomerative Embeddings of Text
- ICML 2023On the Effectiveness of Offline RL for Dialogue Response Generation
- ICML 2023Open-Vocabulary Universal Image Segmentation with MaskCLIP
- ICML 2023OpenFE: Automated Feature Generation with Expert-level Performance
- ICML 2023Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
- ICML 2023PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
- ICML 2023Private Statistical Estimation of Many Quantiles
- ICML 2023Protecting Language Generation Models via Invisible Watermarking
- ICML 2023Raising the Cost of Malicious AI-Powered Image Editing
- ICML 2023Random Shuffle Transformer for Image Restoration
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。