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 118 篇,第 2 / 3 页
- ICLR 2023Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
- ICLR 2023InCoder: A Generative Model for Code Infilling and Synthesis
- ICLR 2023Information-Theoretic Diffusion
- ICLR 2023IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
- ICLR 2023ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
- ICLR 2023Iterative Circuit Repair Against Formal Specifications
- ICLR 2023Kernel Neural Optimal Transport
- ICLR 2023kNN-Diffusion: Image Generation via Large-Scale Retrieval
- ICLR 2023Language Models Can Teach Themselves to Program Better
- ICLR 2023Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
- ICLR 2023LDMIC: Learning-based Distributed Multi-view Image Coding
- ICLR 2023Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance
- ICLR 2023Learning Iterative Neural Optimizers for Image Steganography
- ICLR 2023Learning multi-scale local conditional probability models of images
- ICLR 2023Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
- ICLR 2023Learning to Generate Columns with Application to Vertex Coloring
- ICLR 2023Learning with Stochastic Orders
- ICLR 2023Linearly Mapping from Image to Text Space
- ICLR 2023LPT: Long-tailed Prompt Tuning for Image Classification
- ICLR 2023Make-A-Video: Text-to-Video Generation without Text-Video Data
- ICLR 2023Markup-to-Image Diffusion Models with Scheduled Sampling
- ICLR 2023Masked Image Modeling with Denoising Contrast
- ICLR 2023Measuring axiomatic soundness of counterfactual image models
- ICLR 2023Molecule Generation For Target Protein Binding with Structural Motifs
- ICLR 2023Multi-domain image generation and translation with identifiability guarantees
- ICLR 2023NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
- ICLR 2023Neural Groundplans: Persistent Neural Scene Representations from a Single Image
- ICLR 2023Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
- ICLR 2023Neural Optimal Transport
- ICLR 2023Non-parametric Outlier Synthesis
- ICLR 2023Offline RL for Natural Language Generation with Implicit Language Q Learning
- ICLR 2023On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
- ICLR 2023On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation
- ICLR 2023Out-of-Distribution Detection and Selective Generation for Conditional Language Models
- ICLR 2023Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
- ICLR 2023PaLI: A Jointly-Scaled Multilingual Language-Image Model
- ICLR 2023Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
- ICLR 2023PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
- ICLR 2023Planning with Large Language Models for Code Generation
- ICLR 2023Prompt-to-Prompt Image Editing with Cross-Attention Control
- ICLR 2023PV3D: A 3D Generative Model for Portrait Video Generation
- ICLR 2023Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
- ICLR 2023Re-Imagen: Retrieval-Augmented Text-to-Image Generator
- ICLR 2023Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
- ICLR 2023Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
- ICLR 2023Rethinking skip connection model as a learnable Markov chain
- ICLR 2023Scalable Subset Sampling with Neural Conditional Poisson Networks
- ICLR 2023Scaling Laws For Deep Learning Based Image Reconstruction
- ICLR 2023Schema Inference for Interpretable Image Classification
- ICLR 2023Selective Frequency Network for Image Restoration
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。