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 1,216 篇，第 24 / 25 页
- NeurIPS 2024Selective Generation for Controllable Language Models
- NeurIPS 2024SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
- NeurIPS 2024SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow
- NeurIPS 2024Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
- NeurIPS 2024Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
- NeurIPS 2024SF-V: Single Forward Video Generation Model
- NeurIPS 2024ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
- NeurIPS 2024Sharing Key Semantics in Transformer Makes Efficient Image Restoration
- NeurIPS 2024Single Image Reflection Separation via Dual-Stream Interactive Transformers
- NeurIPS 2024Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
- NeurIPS 2024Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
- NeurIPS 2024SnapKV: LLM Knows What You are Looking for Before Generation
- NeurIPS 2024Soft Superpixel Neighborhood Attention
- NeurIPS 2024Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
- NeurIPS 2024SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
- NeurIPS 2024Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
- NeurIPS 2024Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
- NeurIPS 2024STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
- NeurIPS 2024StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
- NeurIPS 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models
- NeurIPS 2024Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
- NeurIPS 2024SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition
- NeurIPS 2024Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
- NeurIPS 2024Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
- NeurIPS 2024T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
- NeurIPS 2024T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models
- NeurIPS 2024Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
- NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
- NeurIPS 2024Taming Generative Diffusion Prior for Universal Blind Image Restoration
- NeurIPS 2024Task Me Anything
- NeurIPS 2024Test-Time Dynamic Image Fusion
- NeurIPS 2024Tetrahedron Splatting for 3D Generation
- NeurIPS 2024Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
- NeurIPS 2024TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control
- NeurIPS 2024Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
- NeurIPS 2024TFG: Unified Training-Free Guidance for Diffusion Models
- NeurIPS 2024TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge
- NeurIPS 2024Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
- NeurIPS 2024TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
- NeurIPS 2024Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
- NeurIPS 2024Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing
- NeurIPS 2024Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
- NeurIPS 2024Towards Visual Text Design Transfer Across Languages
- NeurIPS 2024TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
- NeurIPS 2024Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
- NeurIPS 2024U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
- NeurIPS 2024UDON: Universal Dynamic Online distillatioN for generic image representations
- NeurIPS 2024UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
- NeurIPS 2024UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
- NeurIPS 2024Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
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。