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 1,371 篇，第 2 / 28 页

51. NeurIPS 2026BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors
52. NeurIPS 2026BigCell: Generating Gigapixel Whole-Slide Images
53. NeurIPS 2026BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
54. NeurIPS 2026BitDance: Scaling Autoregressive Generative Models with Binary Tokens
55. NeurIPS 2026BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting
56. NeurIPS 2026Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design
57. NeurIPS 2026Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation
58. NeurIPS 2026Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
59. NeurIPS 2026Bound-Conditioned Latent Inference for Progressive Image Compression
60. NeurIPS 2026Breaking Noise Shortcuts in Self-Supervised Learning via Noise-Aligned View Generation
61. NeurIPS 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
62. NeurIPS 2026BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization
63. NeurIPS 2026Bridging Image Restoration and Recognition via Causal Mediated Unrolling
64. NeurIPS 2026Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
65. NeurIPS 2026Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization
66. NeurIPS 2026Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
67. NeurIPS 2026Character Mixing for Video Generation
68. NeurIPS 2026CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation
69. NeurIPS 2026Class Adaptive Conformal Training
70. NeurIPS 2026CLeaR: A Unified Framework for Resolving the Leakage–Degradation Dilemma in Style Transfer
71. NeurIPS 2026Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Image Generation
72. NeurIPS 2026CoilStellaration: A Dataset and Benchmark for Engineering-Aware Stellarator Coilset Generation
73. NeurIPS 2026CoLa3D: Composable Latent 3D Decomposition
74. NeurIPS 2026COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation
75. NeurIPS 2026ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
76. NeurIPS 2026Colored Noise Diffusion Sampling
77. NeurIPS 2026CompJudge: Fine-Grained Comparative Evaluation using Multimodal LLM for Subject-Driven Generation
78. NeurIPS 2026Complementing DINO Features with Image Structure for Part Discovery
79. NeurIPS 2026Computational Depth Predicts Quantization Sensitivity in Multimodal Models
80. NeurIPS 2026Conformal Cache: Reliable Proxy-Discrepancy Caching for Fast Generative Inference
81. NeurIPS 2026Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning
82. NeurIPS 2026Context-Aware Autoregressive Image Generation for Emerging Reasoning Properties
83. NeurIPS 2026Contextual Flow Matching for High-quality Visual Content Generation
84. NeurIPS 2026Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
85. NeurIPS 2026Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
86. NeurIPS 2026Continuous Personalized Diffusion Model via Spinor-Component Forward Geometry
87. NeurIPS 2026Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
88. NeurIPS 2026Contrastive Identification and Generation in the Limit
89. NeurIPS 2026Controllable Road Marking Generation
90. NeurIPS 2026CoScan: Multi-Scale Content-Adaptive Space-Filling Scans for Causal State-Space Image Restoration
91. NeurIPS 2026Coupled Guidance for Flow Matching
92. NeurIPS 2026Coupling Models for One-Step Discrete Generation
93. NeurIPS 2026CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding
94. NeurIPS 2026CrossID: Cross-Supervised Spatio-Temporal Gated Fusion for Personalized Portrait Generation
95. NeurIPS 2026CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation
96. NeurIPS 2026DARE: Dual-Level Adversarial Learning with Domain-Aware Regularization for Whole Slide Image Classification
97. NeurIPS 2026Dataset Collections: Challenges of Large-Scale Data Aggregation in 3D Medical Image Datasets
98. NeurIPS 2026Debiased Counterfactual Generation via Flow Matching from Observations
99. NeurIPS 2026Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation
100. NeurIPS 2026DEDCA: Test-Time Adaptation for Generalized AI-Generated Image Detection

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。