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 1,371 篇，第 22 / 28 页
- NeurIPS 2024Learning Group Actions on Latent Representations
- NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
- NeurIPS 2024Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
- NeurIPS 2024Learning predictable and robust neural representations by straightening image sequences
- NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
- NeurIPS 2024Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
- NeurIPS 2024LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
- NeurIPS 2024M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
- NeurIPS 2024Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
- NeurIPS 2024Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
- NeurIPS 2024MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
- NeurIPS 2024Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
- NeurIPS 2024Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
- NeurIPS 2024Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
- NeurIPS 2024MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
- NeurIPS 2024MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
- NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
- NeurIPS 2024MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs
- NeurIPS 2024MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation
- NeurIPS 2024MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
- NeurIPS 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
- NeurIPS 2024MotionBooth: Motion-Aware Customized Text-to-Video Generation
- NeurIPS 2024MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions
- NeurIPS 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
- NeurIPS 2024Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
- NeurIPS 2024Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
- NeurIPS 2024Neural Cover Selection for Image Steganography
- NeurIPS 2024Neural Residual Diffusion Models for Deep Scalable Vision Generation
- NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
- NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
- NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
- NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
- NeurIPS 2024On the Noise Robustness of In-Context Learning for Text Generation
- NeurIPS 2024One-Step Diffusion Distillation through Score Implicit Matching
- NeurIPS 2024One-Step Effective Diffusion Network for Real-World Image Super-Resolution
- NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
- NeurIPS 2024Optical Diffusion Models for Image Generation
- NeurIPS 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
- NeurIPS 2024ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
- NeurIPS 2024Parameter-Inverted Image Pyramid Networks
- NeurIPS 2024Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
- NeurIPS 2024pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
- NeurIPS 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
- NeurIPS 2024PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
- NeurIPS 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
- NeurIPS 2024Phased Consistency Models
- NeurIPS 2024PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
- NeurIPS 2024Physically Compatible 3D Object Modeling from a Single Image
- NeurIPS 2024PLIP: Language-Image Pre-training for Person Representation Learning
- NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
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。