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 780 篇，第 14 / 16 页
- NeurIPS 2023DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
- NeurIPS 2023DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
- NeurIPS 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
- NeurIPS 2023DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
- NeurIPS 2023Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
- NeurIPS 2023Diffusion Self-Guidance for Controllable Image Generation
- NeurIPS 2023Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
- NeurIPS 2023Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
- NeurIPS 2023Dream the Impossible: Outlier Imagination with Diffusion Models
- NeurIPS 2023DreamHuman: Animatable 3D Avatars from Text
- NeurIPS 2023DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
- NeurIPS 2023Efficient Neural Music Generation
- NeurIPS 2023Emergent Correspondence from Image Diffusion
- NeurIPS 2023Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
- NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
- NeurIPS 2023FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy
- NeurIPS 2023FaceComposer: A Unified Model for Versatile Facial Content Creation
- NeurIPS 2023FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
- NeurIPS 2023FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
- NeurIPS 2023FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
- NeurIPS 2023FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
- NeurIPS 2023FouriDown: Factoring Down-Sampling into Shuffling and Superposing
- NeurIPS 2023Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
- NeurIPS 2023GenEval: An object-focused framework for evaluating text-to-image alignment
- NeurIPS 2023GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
- NeurIPS 2023GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER
- NeurIPS 2023GlyphControl: Glyph Conditional Control for Visual Text Generation
- NeurIPS 2023Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On
- NeurIPS 2023HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
- NeurIPS 2023Hardware Resilience Properties of Text-Guided Image Classifiers
- NeurIPS 2023Hierarchical Open-vocabulary Universal Image Segmentation
- NeurIPS 2023Holistic Evaluation of Text-to-Image Models
- NeurIPS 2023Idempotent Learned Image Compression with Right-Inverse
- NeurIPS 2023ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
- NeurIPS 2023ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
- NeurIPS 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation
- NeurIPS 2023Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
- NeurIPS 2023IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
- NeurIPS 2023Improving Diffusion-Based Image Synthesis with Context Prediction
- NeurIPS 2023Inserting Anybody in Diffusion Models via Celeb Basis
- NeurIPS 2023Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
- NeurIPS 2023JourneyDB: A Benchmark for Generative Image Understanding
- NeurIPS 2023Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment
- NeurIPS 2023LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
- NeurIPS 2023Learning Modulated Transformation in GANs
- NeurIPS 2023Learning Universal Policies via Text-Guided Video Generation
- NeurIPS 2023Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
- NeurIPS 2023Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
- NeurIPS 2023LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
- NeurIPS 2023LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation
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。