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 27 / 28 页
- NeurIPS 2023NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
- NeurIPS 2023Nearest Neighbour with Bandit Feedback
- NeurIPS 2023Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
- NeurIPS 2023Neural Image Compression: Generalization, Robustness, and Spectral Biases
- NeurIPS 2023NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
- NeurIPS 2023NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation
- NeurIPS 2023Norm-guided latent space exploration for text-to-image generation
- NeurIPS 2023OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
- NeurIPS 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
- NeurIPS 2023Optimal Transport-Guided Conditional Score-Based Diffusion Model
- NeurIPS 2023Optimizing Prompts for Text-to-Image Generation
- NeurIPS 2023PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
- NeurIPS 2023PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas
- NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
- NeurIPS 2023PHOTOSWAP: Personalized Subject Swapping in Images
- NeurIPS 2023Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
- NeurIPS 2023PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
- NeurIPS 2023Point Cloud Completion with Pretrained Text-to-Image Diffusion Models
- NeurIPS 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
- NeurIPS 2023PromptIR: Prompting for All-in-One Image Restoration
- NeurIPS 2023PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
- NeurIPS 2023PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
- NeurIPS 2023Q-DM: An Efficient Low-bit Quantized Diffusion Model
- NeurIPS 2023Quilt-1M: One Million Image-Text Pairs for Histopathology
- NeurIPS 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
- NeurIPS 2023Real-World Image Variation by Aligning Diffusion Inversion Chain
- NeurIPS 2023Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations
- NeurIPS 2023Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
- NeurIPS 2023Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers”
- NeurIPS 2023Reproducibility Study of “Quantifying Societal Bias Amplification in Image Captioning”
- NeurIPS 2023ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
- NeurIPS 2023Revisiting the Evaluation of Image Synthesis with GANs
- NeurIPS 2023Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
- NeurIPS 2023Scalable 3D Captioning with Pretrained Models
- NeurIPS 2023SceneScape: Text-Driven Consistent Scene Generation
- NeurIPS 2023SEGA: Instructing Text-to-Image Models using Semantic Guidance
- NeurIPS 2023Semantic Image Synthesis with Unconditional Generator
- NeurIPS 2023SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
- NeurIPS 2023Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
- NeurIPS 2023SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents
- NeurIPS 2023Stable Bias: Evaluating Societal Representations in Diffusion Models
- NeurIPS 2023StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
- NeurIPS 2023StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
- NeurIPS 2023Structured Voronoi Sampling
- NeurIPS 2023StyleDrop: Text-to-Image Synthesis of Any Style
- NeurIPS 2023Subject-driven Text-to-Image Generation via Apprenticeship Learning
- NeurIPS 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
- NeurIPS 2023T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
- NeurIPS 2023Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
- NeurIPS 2023TextDiffuser: Diffusion Models as Text Painters
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。