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 1,371 篇，第 5 / 28 页
- NeurIPS 2026Inference-Time Vulnerability Beyond Shallow Safety: Alignment Along Generation Trajectories
- NeurIPS 2026Inline Critic Steers Image Editing
- NeurIPS 2026Instantiation of Human Values in Image Generation
- NeurIPS 2026Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation
- NeurIPS 2026Intervention-Guided Image-Free Classifier Expansion for Fine-Grained Recognition
- NeurIPS 2026It Just Takes Two: Scaling Amortized Inference to Large Sets
- NeurIPS 2026ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
- NeurIPS 2026Keep It CALM: Analyzing the Limits of Global Unsafety in Text-to-Image Generation
- NeurIPS 2026LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation
- NeurIPS 2026Lang-SVG: Hierarchical Image Vectorization with Language Priors
- NeurIPS 2026Latent Process Generator Matching
- NeurIPS 2026Latent Refinement Decoding: Enhancing Diffusion Language Models by Refining Belief States
- NeurIPS 2026Layout Before Pixels: Topology-Anchored Transcriptome-to-Histology Generation
- NeurIPS 2026LayoutBridge: Anisotropic Brownian Bridges for Public Indoor Floorplan Generation
- NeurIPS 2026Learn Locally, Recurse Globally: Neural Circuit Synthesis Beyond Training Depth
- NeurIPS 2026Learning Cultural Vectors for Cross-Cultural Generation
- NeurIPS 2026Learning to Complete Extremal Mathematical Structures
- NeurIPS 2026Learning to Solve Generative ODEs Beyond the Linear Span
- NeurIPS 2026Learning Where and What to Restore for Composite Image Restoration
- NeurIPS 2026LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling
- NeurIPS 2026LibEvoBench: Probing Temporal Knowledge Stratification in Code Generation Models
- NeurIPS 2026LiFT: Lifted Inter-slice Feature Trajectories for 3D Image Generation from 2D Generators
- NeurIPS 2026LIPAR: Latent Inter-Frame Pruning with Attention Recovery
- NeurIPS 2026LLM Is a Good Conditioner: End-to-End Sign Language Video Generation with VQ-Diffusion
- NeurIPS 2026LLMs Optimizing LLMs: Automated MegaKernel Generation for Inference Acceleration
- NeurIPS 2026Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models
- NeurIPS 2026LogicDirector: Enforcing Temporal Composition in Text-to-Video Generation
- NeurIPS 2026LoopWeaver: Weaving Feedback Loops into Hierarchical Generation under Constraints
- NeurIPS 2026Magnetic Resonance Unpaired Image Translation with Pseudometric Schrödinger Bridges
- NeurIPS 2026Manifold Embedding of Deep Image Features for Image Matching via Neural Adjoint Maps
- NeurIPS 2026Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction
- NeurIPS 2026Matchability-Aware Conformal Prediction for Open-Ended Language Model Generation
- NeurIPS 2026Matching2Matching: Zero-Shot Light Field Image Denoising with Matching View Construction
- NeurIPS 2026MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation
- NeurIPS 2026MedIGen: Reliable Medical Illustration Generation via Interleaved Introspective Reasoning
- NeurIPS 2026MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping
- NeurIPS 2026Mesh BDF: Barycentric Dominance Field for 3D Native Mesh Generation
- NeurIPS 2026Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning for T2I Generation in Unified Multimodal Models
- NeurIPS 2026MFlowAudio: Efficient Text-to-Audio Synthesis via Mamba-based Stateful Flow Matching
- NeurIPS 2026MIRROR: Manifold Ideal Reference ReconstructOR for AI-Generated Image Detection
- NeurIPS 2026Mission Impossible: Diagnosing and Fixing Non-Operative Instruction Following in Image Editing
- NeurIPS 2026Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models
- NeurIPS 2026Mixed-Curvature Geometric Latent Diffusion Model for Graph Generation
- NeurIPS 2026Mixture of Attribute-Aware Attention Experts for Fine-grained E-Commerce Composed Image Retrieval
- NeurIPS 2026MLLM-Edit: Benchmarking Image Forgery Detection and Localization under MLLM-based Editing
- NeurIPS 2026MobTA: Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic
- NeurIPS 2026MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation
- NeurIPS 2026Model Incrimination: Investigating Whether Concerning Behavior Reflects Misalignment
- NeurIPS 2026MODULE: A Mutual-Promoting Deep Unfolding Framework Towards Degradation-Robust Multi-modal Image Fusion
- NeurIPS 2026MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
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。