图像生成论文趋势 2023–2026

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。

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 74 篇，第 2 / 2 页

51. ICML 2023Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
52. ICML 2023Repository-Level Prompt Generation for Large Language Models of Code
53. ICML 2023RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation
54. ICML 2023Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
55. ICML 2023Scalable Adaptive Computation for Iterative Generation
56. ICML 2023SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
57. ICML 2023SE(3) diffusion model with application to protein backbone generation
58. ICML 2023Semi-Offline Reinforcement Learning for Optimized Text Generation
59. ICML 2023simple diffusion: End-to-end diffusion for high resolution images
60. ICML 2023SinDDM: A Single Image Denoising Diffusion Model
61. ICML 2023Slot-VAE: Object-Centric Scene Generation with Slot Attention
62. ICML 2023Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
63. ICML 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
64. ICML 2023Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction
65. ICML 2023Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
66. ICML 2023Text-To-4D Dynamic Scene Generation
67. ICML 2023Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
68. ICML 2023Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models
69. ICML 2023Towards Explaining Distribution Shifts
70. ICML 2023TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
71. ICML 2023Tractable Control for Autoregressive Language Generation
72. ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
73. ICML 2023Vector Quantized Wasserstein Auto-Encoder
74. ICML 2023Von Mises Mixture Distributions for Molecular Conformation 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。