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 1,467 篇，第 26 / 30 页
- NeurIPS 2025MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
- NeurIPS 2025Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
- NeurIPS 2025MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
- NeurIPS 2025MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation
- NeurIPS 2025MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
- NeurIPS 2025Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
- NeurIPS 2025Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
- NeurIPS 2025Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
- NeurIPS 2025Mixture of Inputs: Text Generation Beyond Discrete Token Sampling
- NeurIPS 2025MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
- NeurIPS 2025MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection
- NeurIPS 2025MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models
- NeurIPS 2025MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning
- NeurIPS 2025MobileODE: An Extra Lightweight Network
- NeurIPS 2025MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery
- NeurIPS 2025Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
- NeurIPS 2025MoonCast: High-Quality Zero-Shot Podcast Generation
- NeurIPS 2025More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
- NeurIPS 2025More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
- NeurIPS 2025MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
- NeurIPS 2025MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
- NeurIPS 2025MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
- NeurIPS 2025MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
- NeurIPS 2025MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation
- NeurIPS 2025Native-Resolution Image Synthesis
- NeurIPS 2025Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification
- NeurIPS 2025NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
- NeurIPS 2025Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
- NeurIPS 2025NEP: Autoregressive Image Editing via Next Editing Token Prediction
- NeurIPS 2025Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
- NeurIPS 2025Neural-Driven Image Editing
- NeurIPS 2025NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering
- NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
- NeurIPS 2025Non-Adaptive Adversarial Face Generation
- NeurIPS 2025ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
- NeurIPS 2025OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
- NeurIPS 2025Omnidirectional 3D Scene Reconstruction from Single Image
- NeurIPS 2025OmniGen-AR: AutoRegressive Any-to-Image Generation
- NeurIPS 2025OmniSVG: A Unified Scalable Vector Graphics Generation Model
- NeurIPS 2025OmniTry: Virtual Try-On Anything without Masks
- NeurIPS 2025On Fairness of Unified Multimodal Large Language Model for Image Generation
- NeurIPS 2025On the Entropy Calibration of Language Models
- NeurIPS 2025On Union-Closedness of Language Generation
- NeurIPS 2025One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
- NeurIPS 2025One-Step Diffusion-Based Image Compression with Semantic Distillation
- NeurIPS 2025One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
- NeurIPS 2025OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
- NeurIPS 2025OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
- NeurIPS 2025OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization
- NeurIPS 2025ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image 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。