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 6 / 10 页
- NeurIPS 2026MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
- NeurIPS 2026MorphGen: Controllable Cell-Image Generation with Biological Representation Alignment
- NeurIPS 2026MotionCFG: Boosting Motion Dynamics via Semantic Motion Sharpening
- NeurIPS 2026MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
- NeurIPS 2026Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment
- NeurIPS 2026Multimodal Context-Aware Human Motion Generation with Language, Vision, and Object
- NeurIPS 2026MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation
- NeurIPS 2026N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
- NeurIPS 2026NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
- NeurIPS 2026Natural-Language-Guided Protein Generation for Ligand-Binding Design
- NeurIPS 2026NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp Generation
- NeurIPS 2026NeuroSynTheos: Learning to accelerate counterexample-guided reactive synthesis modulo theories
- NeurIPS 2026NIV: Neural Axis Variations for Variable Font Generation
- NeurIPS 2026Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
- NeurIPS 2026Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
- NeurIPS 2026Not All Layers Are Equal in Image-to-Video Transfer
- NeurIPS 2026Not Every Image Teaches Vision: Visual-Necessity-Gated Continual Learning for Multimodal Large Language Models
- NeurIPS 2026NP-LoRA: Null Space Projection for Subject-Style LoRA Fusion
- NeurIPS 2026NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
- NeurIPS 2026OBJECT-UNI: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation
- NeurIPS 2026On the Price of Privacy for Language Identification and Generation
- NeurIPS 2026On the Relaxation of Conditional Independence Assumption for Image Segmentation
- NeurIPS 2026On-Policy Distillation with Open Property-Equivalence Reward for LLM-Based NL-to-SVA Generation
- NeurIPS 2026One Unified Representation: Resolving the Appearance-Semantics Dilemma via Structural Regularization
- NeurIPS 2026One View Is Enough: In-the-Wild Monocular Pretraining for Novel View Generation
- NeurIPS 2026ONE-SHOT: Compositional Human-Environment Video Synthesis via Spatial-Decoupled Motion Injection and Hybrid Context Integration
- NeurIPS 2026Opening the Black Box of Classifier-Free Guidance via Information Bottleneck
- NeurIPS 2026OptiWorld: Optimal Control for Video World Generation under Physical Constraints
- NeurIPS 2026ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
- NeurIPS 2026Origami as a Real-Image Benchmark for Procedural State-Transition Reasoning
- NeurIPS 2026Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
- NeurIPS 2026OTEdit: Entropic Transport Corrected Trajectory for Inversion-Free Flow-Based Image Editing
- NeurIPS 2026OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
- NeurIPS 2026P$^{3}$: Joint Program-and-Proof Planning\\ for Verified Code Generation
- NeurIPS 2026PAI-Actor: Cinematic Multi-Actor Character Replacement in Dynamic Scenes
- NeurIPS 2026Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
- NeurIPS 2026Parameterized Stripe Attention for Efficient Video Generation
- NeurIPS 2026Parametric Meets Non-parametric: Bridging Dual Prediction Spaces for Semi-supervised Medical Image Segmentation
- NeurIPS 2026ParaPC-FM: Accelerating Parallel Sampling via Principled Initialization
- NeurIPS 2026PARE: Pruning and Adaptive Routing for Efficient Video Generation
- NeurIPS 2026PCDFusion: Proposal-Context-Detail Bayesian Rendering for Infrared-Visible Image Fusion
- NeurIPS 2026Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
- NeurIPS 2026PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
- NeurIPS 2026Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation
- NeurIPS 2026Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation
- NeurIPS 2026PhysTacGen: Physics-Aware Visual-Tactile Sensor Image Generation
- NeurIPS 2026PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video
- NeurIPS 2026PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
- NeurIPS 2026PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
- NeurIPS 2026Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing
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。