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 453 篇，第 7 / 10 页
- NeurIPS 2026PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery
- NeurIPS 2026Prefix Likelihood-Ratio Control: Tail-Stable Training for Long-Horizon Language Generation
- NeurIPS 2026Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
- NeurIPS 2026Primal-Dual Flow Matching for Sample-Wise Constrained Generation
- NeurIPS 2026PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
- NeurIPS 2026PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
- NeurIPS 2026Probability-Conserving Flow Guidance
- NeurIPS 2026Probing Visual Planning in Image Editing Models
- NeurIPS 2026ProGraf: Profile-Guided Planning for Step-by-Step Generation of Structured Non-Natural Images
- NeurIPS 2026Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
- NeurIPS 2026Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
- NeurIPS 2026Pygmalion: Bridging Reconstruction and Generation in Sparse Voxel-based 3D Modeling
- NeurIPS 2026Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
- NeurIPS 2026QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
- NeurIPS 2026RADAR: Relative Angular Divergence Across Representations
- NeurIPS 2026RADAR: Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
- NeurIPS 2026RADIUM: RadioActive Decay of Image-Underlaid Marks
- NeurIPS 2026Random-Projection Tree Stein Variational Gradient Descent
- NeurIPS 2026RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution
- NeurIPS 2026RANSAC Scoring Done Right
- NeurIPS 2026RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance
- NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
- NeurIPS 2026Re-evaluating Confidence Remasking in Masked Diffusion Language Models
- NeurIPS 2026Read It Back: Pretrained MLLMs Are Zero-shot Reward Models for Text-to-Image Generation
- NeurIPS 2026Reading the Unreadable: Text-Aware Image Super-Resolution Needs Reasoning
- NeurIPS 2026Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
- NeurIPS 2026RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
- NeurIPS 2026RefineTok: Scale-Wise Tokenization for Progressive Visual Refinement
- NeurIPS 2026ReFlex: Faithful Panorama Reconstruction from a Single Image with Reflections
- NeurIPS 2026REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge
- NeurIPS 2026ReGuidance: Diffusion Steering with Strong Latent Initializations Solves Hard Inverse Problems
- NeurIPS 2026Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images
- NeurIPS 2026Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation
- NeurIPS 2026RePiD: Efficient Recursive Pixel-Space Diffusion via Hierarchical Patch Denoising
- NeurIPS 2026Representation Fréchet Loss for Visual Generation
- NeurIPS 2026ResFusion: Medical Image Fusion Driven by Implicit-Forward Diffusion and Time-aware Joint Optimization
- NeurIPS 2026Rethinking Contrastive Targets in Radiology Language-Image Pretraining
- NeurIPS 2026Retrieve What’s Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation
- NeurIPS 2026Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures
- NeurIPS 2026Reward Shaping to Improve Language Model Query Generation
- NeurIPS 2026RIFLE: Removal of Image Flicker-Banding via Latent Diffusion Enhancement
- NeurIPS 2026RISE: Red-teaming via Iterative Strategy Evolution for Modern Text-to-Image Models
- NeurIPS 2026RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
- NeurIPS 2026RobustStress: Stress-Testing AI-Generated Text Detectors under Gradual Perturbations
- NeurIPS 2026RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
- NeurIPS 2026Safe Few-Step Generation via Velocity Editing
- NeurIPS 2026SafePro: Generation of Safe and Functional Proteins via Cross-Task Conflict-Aware Alignment
- NeurIPS 2026SAGE: Semantic-Agnostic Image Embedding for Generalized AI-Generated Image Detection
- NeurIPS 2026Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy
- NeurIPS 2026Scalable Fair Learning via Cramér-von Mises Regularization
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。