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 1,721 篇，第 25 / 35 页
- ICML 2026ScalingAR: Scaling Confidence for Autoregressive Image Generation
- ICML 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
- ICML 2026Semantic Granularity Navigation in Image Editing
- ICML 2026Semantic-level Backdoor Attack against Text-to-Image Diffusion Models
- ICML 2026SEPS: Semantic-Enhanced Patch Slimming Framework for Fine-Grained Cross-Modal Alignment
- ICML 2026Shape of Thought: Progressive Object Assembly via Visual Chain-of-Thought
- ICML 2026Show, Don't Tell: Morphing Latent Reasoning into Image Generation
- ICML 2026SJD-SV: Speculative Jacobi Decoding with Semantics Verification for Autoregressive Image Generation
- ICML 2026Skipping the Zeros in Diffusion Models for Sparse Data Generation
- ICML 2026Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image Generation
- ICML 2026Spectrally-Guided Diffusion Noise Schedules
- ICML 2026Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation
- ICML 2026SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion
- ICML 2026SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
- ICML 2026SSDCN: Spatial-Spectral Dual-Clustering-based Network for Hyperspectral Image Super-resolution
- ICML 2026STD-Former: Image-Conditioned Texture Dictionary Encoding with Sparse Topological Supervision for Texture Recognition
- ICML 2026Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
- ICML 2026Stop When Further Reasoning Won’t Help: Attention-State Adaptive Generation in Reasoning Models
- ICML 2026StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
- ICML 2026StructMAR: Structure-Aware Masked Autoregression for Explicit Layout Alignment in Text-to-Image Generation
- ICML 2026StyleDistillation: A New Insight of Image Style Enables Personalized Aesthetic Manipulation
- ICML 2026SuperHype: Hypergraph Generation via Graph-Superposition Decomposition
- ICML 2026SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
- ICML 2026SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
- ICML 2026Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors
- ICML 2026TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment
- ICML 2026Taylor-Gaussians-Flow: Towards Non-uniform Motion for Novel View Synthesis from Monocular Video
- ICML 2026TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
- ICML 2026TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
- ICML 2026Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space
- ICML 2026TextAtlas5M: A Large-Scale Dataset for Long Text Image Generation
- ICML 2026TextMesh4D: Zero-shot Text-to-4D Mesh Generation
- ICML 2026TFTF: Training-Free Targeted Flow for Conditional Sampling
- ICML 2026The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
- ICML 2026The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
- ICML 2026The Safety-Aware Denoiser for Text Diffusion Models
- ICML 2026The Velocity Deficit: Initial Energy Injection for Flow Matching
- ICML 2026TIMI: Training-Free Image-to-3D Multi-Instance Generation with Spatial Fidelity
- ICML 2026Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
- ICML 2026Towards Diffeomorphism-Equivariant Neural Networks via Canonicalization
- ICML 2026Towards Scalable and Consistent 3D Editing
- ICML 2026Towards Trustworthy and Identifiable Virtual Face Generation
- ICML 2026TPGDiff : Hierarchical Triple-Prior Guided Diffusion for Image Restoration
- ICML 2026Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
- ICML 2026Training-Free Coverless Multi-Image Steganography with Access Control
- ICML 2026Trajectory Consistency for One-Step Generation on Euler Mean Flows
- ICML 2026TranX-Adapter: Bridging Artifacts and Semantics within MLLMs for Robust AI-generated Image Detection
- ICML 2026TSMGen: Target-Specific Molecule Generation via Higher-Order Structural Dependencies and Context-Aware Bidirectional Fusion
- ICML 2026Turbo4DGen: Ultra-Fast Acceleration for 4D Generation
- ICML 2026Twins: Learn to Predict Unified Representations with Focal Loss
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。