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 1,721 篇，第 4 / 35 页
- CVPR 2026DiT360 High-Fidelity Panoramic Image Generation via Hybrid Training
- CVPR 2026DiverseGRPO Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO
- CVPR 2026Diversity over Uniformity Rethinking Representation in Generated Image Detection
- CVPR 2026DMAligner Enhancing Image Alignment via Diffusion Model Based View Synthesis
- CVPR 2026DNF-SR Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution
- CVPR 2026Does YOLO Really Need to See Every Training Image in
- CVPR 2026DPAR Dynamic Patchification for Efficient Autoregressive Visual Generation
- CVPR 2026DreamOmni2 Multimodal Instruction-based Generation and Editing
- CVPR 2026DreamShot Personalized Storyboard Synthesis with Video Diffusion Prior
- CVPR 2026DreamSR Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion
- CVPR 2026DriveLaW Unifying Planning and Video Generation in a Latent Driving
- CVPR 2026DSFlash Comprehensive Panoptic Scene Graph Generation in Realtime
- CVPR 2026Dual-Level Hypergraph Generation for Addressing Feature Scarcity in Whole-Slide Image
- CVPR 2026DuetSVG Unified Multimodal SVG Generation with Internal Visual Guidance
- CVPR 2026DuoGen Towards Autonomous Interleaved Multimodal Generation
- CVPR 2026DVAR Dynamic Visual Autoregressive Modeling for Image Super-Resolution
- CVPR 2026Dynamic Exposure Burst Image Restoration
- CVPR 2026DynFusion Rethinking Condition Fusion for Adaptive Multi-Conditional Text-to-Image Generation
- CVPR 2026EchoVDiff Cardiac-Cycle Echocardiography Video Generation from Arbitrary Single Frame
- CVPR 2026Edit2Perceive Image Editing Diffusion Models Are Strong Dense Perceivers
- CVPR 2026Editprint General Digital Image Forensics via Editing Fingerprint with Self-Augmentation
- CVPR 2026EffectMaker Unifying Reasoning and Generation for Customized Visual Effect Creation
- CVPR 2026Efficient and Training-Free Single-Image Diffusion Models
- CVPR 2026EgoFlow Gradient-Guided Flow Matching for Egocentric 6DoF Object Motion Generation
- CVPR 2026EMMA Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse
- CVPR 2026EmoStyle Emotion-Driven Image Stylization
- CVPR 2026EMR-Diff Edge-aware Multimodal Residual Diffusion Model for Hyperspectral Image Super-resolution
- CVPR 2026Energy-GS Image Energy-guided Pose Alignment Gaussian Splatting with redesigned pose
- CVPR 2026Enhancing Spatial Understanding in Image Generation via Reward Modeling
- CVPR 2026Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
- CVPR 2026Erasing Thousands of Concepts Towards Scalable and Practical Concept Erasure
- CVPR 2026Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset
- CVPR 2026ExpoCM Exposure-Aware One-Step Generative Single-Image HDR Reconstruction
- CVPR 2026ExpPortrait Expressive Portrait Generation via Personalized Representation
- CVPR 2026Extend3D Town-Scale 3D Generation
- CVPR 2026Extending One-Step Image Generation from Class Labels to Text via
- CVPR 2026F2-Assist Multi-Phase Fetal Growth Forecast and Report Generation from Ultrasound
- CVPR 2026FabricGen Microstructure-Aware Woven Fabric Generation
- CVPR 2026FACE A Face-based Autoregressive Representation for High-Fidelity and Efficient Mesh
- CVPR 2026Face2Scene Using Facial Degradation as an Oracle for Diffusion-Based Scene
- CVPR 2026FaithFusion Harmonizing Reconstruction and Generation via Pixel-wise Information Gain
- CVPR 2026FAPE-IR Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration
- CVPR 2026FARMER Flow AutoRegressive Transformer over Pixels
- CVPR 2026FastHybrid Accelerating Hybrid Autoregressive Image Generation with Lookahead and Guided
- CVPR 2026FastLightGen Fast and Light Video Generation with Fewer Steps and
- CVPR 2026Fine-grained Image Aesthetic Assessment Learning Discriminative Scores from Relative Ranks
- CVPR 2026Fine-Grained Multi Image Object Hallucination Benchmark
- CVPR 2026Flash-DMD Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and
- CVPR 2026FlashIn Fast and Accurate Image Inversion for Real-time Image Editing
- CVPR 2026FlashMesh Faster and Better Autoregressive Mesh Synthesis via Structured Speculation
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。