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 4 / 28 页
- NeurIPS 2026From Generation to Restoration: Residual Diffusion for Neural Channel Decoding
- NeurIPS 2026From Heartbeat to Cardiochoreography: A Mechanics Foundation Model for Individualized 4D Cardiac Motion Generation Conditioned on Electrophysiology
- NeurIPS 2026From Structural Feedback to Prompt Policies: Learning Faithful Text-to-Image Prompt Editors
- NeurIPS 2026G-Zero: Self-Play for Open-Ended Generation from Zero Data
- NeurIPS 2026G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models
- NeurIPS 2026G2Fusion: Geometric-to-Generative Image Fusion via Registration-Restoration Evolution
- NeurIPS 2026GARDO: Reinforcing Diffusion Models without Reward Hacking
- NeurIPS 2026Gen-Searcher: Reinforcing Agentic Search for Image Generation
- NeurIPS 2026Gender Artifacts from Art History to Text-to-Image Generation
- NeurIPS 2026Generating the Wild: Individual-Consistent Image-to-Video Generation for Wildlife
- NeurIPS 2026Generation Navigator: A State-Aware Agentic Framework for Image Generation
- NeurIPS 2026Generation-Drift-Guided Block Pruning for Large Language Models
- NeurIPS 2026GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation
- NeurIPS 2026GenScale: A Benchmark for Relative Object Scale in Image Generation and Editing
- NeurIPS 2026GeoFidelity-Bench: Evaluating Block-Conditioned Geographic Fidelity in Text-to-Image Street-View Generation
- NeurIPS 2026GeoG2U-Bench: When Does Generation Help Understanding in Ultra-High-Resolution Remote Sensing?
- NeurIPS 2026GeoMamba: Geometry-Aware State Space Modeling for Image Restoration
- NeurIPS 2026Geometry-Aware Representation Denoising for Multi-view Image Restoration and 3D Reconstruction
- NeurIPS 2026GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
- NeurIPS 2026Glance Before You Tell: Anomaly-Guided 3D Radiology Report Generation with Heat-Conduction Slice Encoders
- NeurIPS 2026GlyphAnchor: Enhancing Visual Text Rendering via Position-Anchored Glyph Priors
- NeurIPS 2026GRASP: Guided Residual Adapters with Sample-wise Partitioning
- NeurIPS 2026GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
- NeurIPS 2026Grounded-Exo2Ego: Structured Semantic Grounding for Robust Exocentric-to-Egocentric Video Generation
- NeurIPS 2026Guided Data Generation for Understanding Model Behavior
- NeurIPS 2026Guiding Visual Autoregressive Models through Spectrum Weakening
- NeurIPS 2026GWScore: A structural diversity metric for consistent text-to-image generation
- NeurIPS 2026HalluciText: Mitigating Text Hallucinations in Diffusion-Based Image Restoration
- NeurIPS 2026Harnessing Image Diffusion Prior for Photo-Realistic Video Restoration
- NeurIPS 2026HELICS: Biobank-scale Conditional Synthetic Genome Generation via Latent Flow Matching
- NeurIPS 2026Hierarchical Agglomerative Clustering via Relaxed Representatives
- NeurIPS 2026Hierarchical Variational Policies for Reward-Guided Diffusion
- NeurIPS 2026HIFC-IQA: Train-Free Cross-Domain Image Quality Assessment via Dual-Process Cognition
- NeurIPS 2026High-Dimensional Conditional Independence Testing via Random Projection Aggregation
- NeurIPS 2026HilbertGen-3D:Hilbert--Multifractal Conditioning for Topology-Aware 3D Generation
- NeurIPS 2026How Diffusion Models Memorize
- NeurIPS 2026Hypergraph Generation via Structured Stochastic Diffusion
- NeurIPS 2026Hypergraph Generation with Latent Diffusion
- NeurIPS 2026HyperNSDE: Personalized Neural SDEs for Joint Static—Longitudinal Clinical Data Generation
- NeurIPS 2026HyperVQ: Enabling Hyperprior Entropy Modeling for VQ-Based Generative Image Compression
- NeurIPS 2026Hypothesis generation and updating in large language models
- NeurIPS 2026i-DEQ: A stable inertial Deep Equilibrium model for image restoration
- NeurIPS 2026I2V-DETACH: Source Grounding Detachment for Unauthorized Image-to-Video Generation
- NeurIPS 2026IdealCache: Rethinking Cache Scheduling in Diffusion Transformers via Ideal Trajectories
- NeurIPS 2026Identified-Set Geometry of Distributional Model Extraction under Top-K Censored API Access
- NeurIPS 2026ImageNet FID is a Pass Check, Not a Finish Line
- NeurIPS 2026Imagine Before You Draw: Visual Prompt Engineering for Image Generation
- NeurIPS 2026Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
- NeurIPS 2026Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation
- NeurIPS 2026IndustryCode: A Benchmark for Industry Code Generation
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。