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 5,184 篇，第 97 / 104 页
- CVPR 2023Unpaired Image-to-Image Translation With Shortest Path Regularization
- CVPR 2023Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
- CVPR 2023Unsupervised Intrinsic Image Decomposition With LiDAR Intensity
- CVPR 2023Variational Distribution Learning for Unsupervised Text-to-Image Generation
- CVPR 2023VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions
- CVPR 2023VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
- CVPR 2023VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining
- CVPR 2023ViLEM: Visual-Language Error Modeling for Image-Text Retrieval
- CVPR 2023Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery
- CVPR 2023ViTs for SITS: Vision Transformers for Satellite Image Time Series
- CVPR 2023Wavelet Diffusion Models Are Fast and Scalable Image Generators
- CVPR 2023Weakly-Supervised Single-View Image Relighting
- CVPR 2023WeatherStream: Light Transport Automation of Single Image Deweathering
- CVPR 2023Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
- CVPR 2023Where We Are and What We're Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes
- CVPR 2023Wide-Angle Rectification via Content-Aware Conformal Mapping
- CVPR 2023WildLight: In-the-Wild Inverse Rendering With a Flashlight
- CVPR 2023WIRE: Wavelet Implicit Neural Representations
- CVPR 2023You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement
- CVPR 2023Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
- CVPR 2023Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data
- CVPR 2023Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
- ICLR 20233D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
- ICLR 20233D generation on ImageNet
- ICLR 2023A Kernel Perspective of Skip Connections in Convolutional Networks
- ICLR 2023Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
- ICLR 2023Accurate Image Restoration with Attention Retractable Transformer
- ICLR 2023Active Image Indexing
- ICLR 2023An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
- ICLR 2023An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
- ICLR 2023AudioGen: Textually Guided Audio Generation
- ICLR 2023Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
- ICLR 2023Basic Binary Convolution Unit for Binarized Image Restoration Network
- ICLR 2023Calibrating Sequence likelihood Improves Conditional Language Generation
- ICLR 2023CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
- ICLR 2023CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
- ICLR 2023CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
- ICLR 2023CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
- ICLR 2023CodeT: Code Generation with Generated Tests
- ICLR 2023CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
- ICLR 2023Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
- ICLR 2023Copy is All You Need
- ICLR 2023De Novo Molecular Generation via Connection-aware Motif Mining
- ICLR 2023DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
- ICLR 2023Decompositional Generation Process for Instance-Dependent Partial Label Learning
- ICLR 2023DiffEdit: Diffusion-based semantic image editing with mask guidance
- ICLR 2023DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
- ICLR 2023DiffusER: Diffusion via Edit-based Reconstruction
- ICLR 2023Diffusion-based Image Translation using disentangled style and content representation
- ICLR 2023DiGress: Discrete Denoising diffusion for graph 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。