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 349 篇，第 5 / 7 页
- ICLR 2026Next Visual Granularity Generation
- ICLR 2026NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
- ICLR 2026NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
- ICLR 2026Object Fidelity Diffusion for Remote Sensing Image Generation
- ICLR 2026OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning
- ICLR 2026ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
- ICLR 2026Omni-IML: Towards Unified Interpretable Image Manipulation Localization
- ICLR 2026Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images
- ICLR 2026OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization
- ICLR 2026OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation
- ICLR 2026One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
- ICLR 2026One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image
- ICLR 2026Parallel Token Generation for Language Models
- ICLR 2026PAT3D: Physics-Augmented Text-to-3D Scene Generation
- ICLR 2026PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models
- ICLR 2026PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
- ICLR 2026PerfGuard: A Performance-Aware Agent for Visual Content Generation
- ICLR 2026PetaGAIL++: Utility Optimized Private Trajectory Generation with Imitation Learning
- ICLR 2026pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
- ICLR 2026PICS: Pairwise Image Compositing with Spatial Interactions
- ICLR 2026Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation
- ICLR 2026PixNerd: Pixel Neural Field Diffusion
- ICLR 2026Planned Diffusion
- ICLR 2026Planner Aware Path Learning in Diffusion Language Models Training
- ICLR 2026PlantRSR: A New Plant Dataset and Method for Reference-based Super-Resolution
- ICLR 2026POEMetric: The Last Stanza of Humanity
- ICLR 2026PolyGraph Discrepancy: a classifier-based metric for graph generation
- ICLR 2026PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image Descriptions
- ICLR 2026Positional Encoding Field
- ICLR 2026Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
- ICLR 2026Product of Experts for Visual Generation
- ICLR 2026Product-Quantised Image Representation for High-Quality Image Synthesis
- ICLR 2026Projected Coupled Diffusion for Test-Time Constrained Joint Generation
- ICLR 2026ProReGen: Progressive Residual Generation under Attribute Correlations
- ICLR 2026Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
- ICLR 2026PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models
- ICLR 2026Purrception: Variational Flow Matching for Vector-Quantized Image Generation
- ICLR 2026Pyramid Patchification Flow for Visual Generation
- ICLR 2026Q&C: When Quantization Meets Cache in Efficient Generation
- ICLR 2026RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion
- ICLR 2026ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation
- ICLR 2026Reconciling Visual Perception and Generation in Diffusion Models
- ICLR 2026Reconstruction Alignment Improves Unified Multimodal Models
- ICLR 2026ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation
- ICLR 2026ReDDiT: Rehashing Noise for Discrete Visual Generation
- ICLR 2026Reducing Class-Wise Performance Disparity via Margin Regularization
- ICLR 2026RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
- ICLR 2026Referring Layer Decomposition
- ICLR 2026RefineStat: Efficient Exploration for Probabilistic Program Synthesis
- ICLR 2026RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
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。