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 156 篇,第 1 / 4 页
- ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
- ICML 2024A Tale of Tails: Model Collapse as a Change of Scaling Laws
- ICML 2024Accelerating Parallel Sampling of Diffusion Models
- ICML 2024Accelerating PDE Data Generation via Differential Operator Action in Solution Space
- ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
- ICML 2024Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
- ICML 2024Adaptive Stabilization Based on Machine Learning for Column Generation
- ICML 2024Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning
- ICML 2024Amortizing Pragmatic Program Synthesis with Rankings
- ICML 2024An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
- ICML 2024An Independence-promoting Loss for Music Generation with Language Models
- ICML 2024AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
- ICML 2024Auto-Regressive Next-Token Predictors are Universal Learners
- ICML 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
- ICML 2024Behavior Generation with Latent Actions
- ICML 2024BetterV: Controlled Verilog Generation with Discriminative Guidance
- ICML 2024Boximator: Generating Rich and Controllable Motions for Video Synthesis
- ICML 2024BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
- ICML 2024CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
- ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
- ICML 2024Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference
- ICML 2024CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
- ICML 2024Cell2Sentence: Teaching Large Language Models the Language of Biology
- ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
- ICML 2024Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
- ICML 2024Completing Visual Objects via Bridging Generation and Segmentation
- ICML 2024Compositional Image Decomposition with Diffusion Models
- ICML 2024Compositional Text-to-Image Generation with Dense Blob Representations
- ICML 2024Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
- ICML 2024Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
- ICML 2024Counterfactual Image Editing
- ICML 2024Creative Text-to-Audio Generation via Synthesizer Programming
- ICML 2024Cross-view Masked Diffusion Transformers for Person Image Synthesis
- ICML 2024CuTS: Customizable Tabular Synthetic Data Generation
- ICML 2024CW Complex Hypothesis for Image Data
- ICML 2024D-Flow: Differentiating through Flows for Controlled Generation
- ICML 2024DAG-Based Column Generation for Adversarial Team Games
- ICML 2024Data-Efficient Molecular Generation with Hierarchical Textual Inversion
- ICML 2024Data-free Distillation of Diffusion Models with Bootstrapping
- ICML 2024Denoising Autoregressive Representation Learning
- ICML 2024DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
- ICML 2024Differentially Private Representation Learning via Image Captioning
- ICML 2024Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
- ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
- ICML 2024Diffusion Rejection Sampling
- ICML 2024Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering
- ICML 2024Directly Denoising Diffusion Models
- ICML 2024DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
- ICML 2024DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
- ICML 2024Disentangled 3D Scene Generation with Layout Learning
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。