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 23 / 25 页
- NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
- NeurIPS 2024Optical Diffusion Models for Image Generation
- NeurIPS 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
- NeurIPS 2024ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
- NeurIPS 2024Parameter-Inverted Image Pyramid Networks
- NeurIPS 2024Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
- NeurIPS 2024pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
- NeurIPS 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
- NeurIPS 2024PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
- NeurIPS 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
- NeurIPS 2024Phased Consistency Models
- NeurIPS 2024PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
- NeurIPS 2024Physically Compatible 3D Object Modeling from a Single Image
- NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
- NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
- NeurIPS 2024Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach
- NeurIPS 2024PromptFix: You Prompt and We Fix the Photo
- NeurIPS 2024Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
- NeurIPS 2024Prune and Repaint: Content-Aware Image Retargeting for any Ratio
- NeurIPS 2024PuLID: Pure and Lightning ID Customization via Contrastive Alignment
- NeurIPS 2024Query-Based Adversarial Prompt Generation
- NeurIPS 2024Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
- NeurIPS 2024RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
- NeurIPS 2024Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
- NeurIPS 2024RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
- NeurIPS 2024ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
- NeurIPS 2024RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
- NeurIPS 2024ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
- NeurIPS 2024Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"
- NeurIPS 2024Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"
- NeurIPS 2024Reranking Laws for Language Generation: A Communication-Theoretic Perspective
- NeurIPS 2024Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
- NeurIPS 2024Rethinking Imbalance in Image Super-Resolution for Efficient Inference
- NeurIPS 2024Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks
- NeurIPS 2024Rethinking Score Distillation as a Bridge Between Image Distributions
- NeurIPS 2024Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
- NeurIPS 2024Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis
- NeurIPS 2024Return of Unconditional Generation: A Self-supervised Representation Generation Method
- NeurIPS 2024ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
- NeurIPS 2024Robustly overfitting latents for flexible neural image compression
- NeurIPS 2024Scaling Sign Language Translation
- NeurIPS 2024Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%
- NeurIPS 2024Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation
- NeurIPS 2024Scene Graph Generation with Role-Playing Large Language Models
- NeurIPS 2024SceneCraft: Layout-Guided 3D Scene Generation
- NeurIPS 2024Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
- NeurIPS 2024SciCode: A Research Coding Benchmark Curated by Scientists
- NeurIPS 2024Score Distillation via Reparametrized DDIM
- NeurIPS 2024Score-based 3D molecule generation with neural fields
- NeurIPS 2024SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification
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。