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 38 / 104 页
- CVPR 2025Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
- CVPR 2025DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
- CVPR 2025Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
- CVPR 2025Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
- CVPR 2025Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
- CVPR 2025DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation
- CVPR 2025Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
- CVPR 2025Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
- CVPR 2025Differentiable Inverse Rendering with Interpretable Basis BRDFs
- CVPR 2025DiffFNO: Diffusion Fourier Neural Operator
- CVPR 2025DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
- CVPR 2025DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis
- CVPR 2025Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning
- CVPR 2025Diffusion Model is Effectively Its Own Teacher
- CVPR 2025Diffusion Self-Distillation for Zero-Shot Customized Image Generation
- CVPR 2025Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
- CVPR 2025Diffusion-based Event Generation for High-Quality Image Deblurring
- CVPR 2025DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
- CVPR 2025DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
- CVPR 2025DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
- CVPR 2025DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation
- CVPR 2025Disco4D: Disentangled 4D Human Generation and Animation from a Single Image
- CVPR 2025Disentangled Pose and Appearance Guidance for Multi-Pose Generation
- CVPR 2025Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality
- CVPR 2025Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
- CVPR 2025Distraction is All You Need for Multimodal Large Language Model Jailbreaking
- CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
- CVPR 2025Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
- CVPR 2025DNF: Unconditional 4D Generation with Dictionary-based Neural Fields
- CVPR 2025DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
- CVPR 2025Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization
- CVPR 2025DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning
- CVPR 2025DocVLM: Make Your VLM an Efficient Reader
- CVPR 2025Dragin3D: Image Editing by Dragging in 3D Space
- CVPR 2025DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
- CVPR 2025DreamOmni: Unified Image Generation and Editing
- CVPR 2025DreamRelation: Bridging Customization and Relation Generation
- CVPR 2025DreamText: High Fidelity Scene Text Synthesis
- CVPR 2025DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters
- CVPR 2025DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation
- CVPR 2025Dual Diffusion for Unified Image Generation and Understanding
- CVPR 2025Dual Prompting Image Restoration with Diffusion Transformers
- CVPR 2025Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
- CVPR 2025DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
- CVPR 2025DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI
- CVPR 2025Easy-editable Image Vectorization with Multi-layer Multi-scale Distributed Visual Feature Embedding
- CVPR 2025EditAR: Unified Conditional Generation with Autoregressive Models
- CVPR 2025Efficient Personalization of Quantized Diffusion Model without Backpropagation
- CVPR 2025Efficient Visual State Space Model for Image Deblurring
- CVPR 2025EigenGS Representation: From Eigenspace to Gaussian Image Space
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。