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 230 篇，第 5 / 5 页
- ICML 2026Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
- ICML 2026Towards Diffeomorphism-Equivariant Neural Networks via Canonicalization
- ICML 2026Towards Scalable and Consistent 3D Editing
- ICML 2026Towards Trustworthy and Identifiable Virtual Face Generation
- ICML 2026TPGDiff : Hierarchical Triple-Prior Guided Diffusion for Image Restoration
- ICML 2026Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
- ICML 2026Training-Free Coverless Multi-Image Steganography with Access Control
- ICML 2026Trajectory Consistency for One-Step Generation on Euler Mean Flows
- ICML 2026TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
- ICML 2026TSMGen: Target-Specific Molecule Generation via Higher-Order Structural Dependencies and Context-Aware Bidirectional Fusion
- ICML 2026Turbo4DGen: Ultra-Fast Acceleration for 4D Generation
- ICML 2026Twins: Learn to Predict Unified Representations with Focal Loss
- ICML 2026UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
- ICML 2026Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows
- ICML 2026Unifying Deep Stochastic Processes for Image Enhancement
- ICML 2026Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
- ICML 2026Unifying Masked Diffusion Models with Various Generation Orders and Beyond
- ICML 2026UniMedVL: Unifying Medical Multimodal Understanding and Generation through Observation-Knowledge-Analysis
- ICML 2026UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
- ICML 2026Unlocking Speech–Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning
- ICML 2026Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers
- ICML 2026Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
- ICML 2026Variational Learning for Insertion-based Generation
- ICML 2026ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models
- ICML 2026WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
- ICML 2026When Attributes Disagree: Gradient Conflict in Image Aesthetic Assessment
- ICML 2026Winformer: Transcending Pairwise Similarity for Time-series Generation
- ICML 2026WISE: World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
- ICML 2026World-Shaper: A Unified Framework for 360° Panoramic Editing
- ICML 2026You Don’t Need All That Attention: Surgical Memorization Mitigation in Text-to-Image 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。