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 199 篇，第 3 / 4 页

101. ICLR 2024InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
102. ICLR 2024Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
103. ICLR 2024InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
104. ICLR 2024Interpretable Diffusion via Information Decomposition
105. ICLR 2024Interpreting CLIP's Image Representation via Text-Based Decomposition
106. ICLR 2024IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
107. ICLR 2024Is Self-Repair a Silver Bullet for Code Generation?
108. ICLR 2024Jointly Training Large Autoregressive Multimodal Models
109. ICLR 2024JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
110. ICLR 2024Kosmos-G: Generating Images in Context with Multimodal Large Language Models
111. ICLR 2024L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
112. ICLR 2024Language Model Beats Diffusion - Tokenizer is key to visual generation
113. ICLR 2024Language-Informed Visual Concept Learning
114. ICLR 2024Large-Vocabulary 3D Diffusion Model with Transformer
115. ICLR 2024LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
116. ICLR 2024Learning Hierarchical Image Segmentation For Recognition and By Recognition
117. ICLR 2024Less is More: Fewer Interpretable Region via Submodular Subset Selection
118. ICLR 2024Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
119. ICLR 2024Lipschitz Singularities in Diffusion Models
120. ICLR 2024LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
121. ICLR 2024LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
122. ICLR 2024LLM-grounded Video Diffusion Models
123. ICLR 2024Localizing and Editing Knowledge In Text-to-Image Generative Models
124. ICLR 2024LRM: Large Reconstruction Model for Single Image to 3D
125. ICLR 2024Machine Unlearning for Image-to-Image Generative Models
126. ICLR 2024MaGIC: Multi-modality Guided Image Completion
127. ICLR 2024Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
128. ICLR 2024MagicDrive: Street View Generation with Diverse 3D Geometry Control
129. ICLR 2024Manifold Preserving Guided Diffusion
130. ICLR 2024Matryoshka Diffusion Models
131. ICLR 2024Mean Field Theory in Deep Metric Learning
132. ICLR 2024Meaning Representations from Trajectories in Autoregressive Models
133. ICLR 2024Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
134. ICLR 2024MixSATGEN: Learning Graph Mixing for SAT Instance Generation
135. ICLR 2024MOFI: Learning Image Representations from Noisy Entity Annotated Images
136. ICLR 2024Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators
137. ICLR 2024Multilinear Operator Networks
138. ICLR 2024Multisize Dataset Condensation
139. ICLR 2024MVDream: Multi-view Diffusion for 3D Generation
140. ICLR 2024Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
141. ICLR 2024NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
142. ICLR 2024Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
143. ICLR 2024Noise-free Score Distillation
144. ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
145. ICLR 2024Object-Aware Inversion and Reassembly for Image Editing
146. ICLR 2024OmniControl: Control Any Joint at Any Time for Human Motion Generation
147. ICLR 2024On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
148. ICLR 2024PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
149. ICLR 2024Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
150. ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis

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。