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 3 / 28 页

101. NeurIPS 2026DeepfakeGenome: Toward Next-Generation Deepfake Attribution
102. NeurIPS 2026DeFlowCritic: Dense Latent Reward Alignment for Text-to-Image Flow Matching Models
103. NeurIPS 2026Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
104. NeurIPS 2026Denoising Time Matters: Diverse Generation in Diffusion Language Models
105. NeurIPS 2026DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English
106. NeurIPS 2026Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image Generation
107. NeurIPS 2026Diffusion Language Models Can Approximate Optimal Infilling Lengths Implicitly
108. NeurIPS 2026Diffusion Models without Classifier-free Guidance
109. NeurIPS 2026DiPhon: Diffusion on Graphons for Scalable Graph Generation
110. NeurIPS 2026Directional Noise Conditioning for Diffusion Models
111. NeurIPS 2026DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers
112. NeurIPS 2026Discovering Unseen Degradations to Adapt Open-World Image Restoration
113. NeurIPS 2026Discrete Stochastic Localization for Non-autoregressive Generation
114. NeurIPS 2026Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation
115. NeurIPS 2026Do Composed Image Retrieval Benchmarks Require Multimodal Composition?
116. NeurIPS 2026Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
117. NeurIPS 2026Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields
118. NeurIPS 2026Drifting Fields are not Conservative
119. NeurIPS 2026DriftWeight: Repulsive Drift in Mean-Flow Space for Neural Network Weight Generation
120. NeurIPS 2026DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation
121. NeurIPS 2026Duality Models: An Embarrassingly Simple One-step Generation Paradigm
122. NeurIPS 2026Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning
123. NeurIPS 2026Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
124. NeurIPS 2026DynaTokens: Teaching Dynamics to Camera-Controlled Video Models at Test Time
125. NeurIPS 2026EditFlowSR: Revisable Expression Generation for Symbolic Regression
126. NeurIPS 2026EditJudge-Bench: Auditing VLM Image-Edit Judges with Synthetic Ground Truth
127. NeurIPS 2026Efficient Image Synthesis with Sphere Latent Encoder
128. NeurIPS 2026Elastic Representations via Hyperbolic Geometry
129. NeurIPS 2026ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
130. NeurIPS 2026Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
131. NeurIPS 2026Ensembling Language Models with Sequential Monte Carlo
132. NeurIPS 2026Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
133. NeurIPS 2026Estimating Model-Level Membership Inference Vulnerability Without Reference Models
134. NeurIPS 2026Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
135. NeurIPS 2026Exact Regular-Constrained Sampling for Variable-Order Markov Generation
136. NeurIPS 2026Exploring Advertising Manipulation in Diffusion Image Generation
137. NeurIPS 2026FaceProbe: Recovering HDR Environment Map via Masked Diffusion and Physical Preference
138. NeurIPS 2026FaithfulFaces: Pose-Faithful Facial Identity Preservation for Text-to-Video Generation
139. NeurIPS 2026FARE: Forensic Acceptance Region Estimation for Catching Bait-and-Switch Image Generators
140. NeurIPS 2026Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
141. NeurIPS 2026Feed-Forward 3D Gaussian Splatting for High-Fidelity Animatable Hand Avatar Reconstruction from a Single Image
142. NeurIPS 2026Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models
143. NeurIPS 2026FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation
144. NeurIPS 2026Firefly: Illuminating Verified Real-world Tool Call Data Generation
145. NeurIPS 2026FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers.
146. NeurIPS 2026FlexCover: Flexible Cover Song Generation via Symbolic Lead Sheet Control
147. NeurIPS 2026Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
148. NeurIPS 2026Flowette: Flow Matching with Graphette Priors for Graph Generation
149. NeurIPS 2026Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations
150. NeurIPS 2026FreqCa: Accelerating Image generation and editing via Frequency-Aware Caching

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。