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 430 篇，第 7 / 9 页
- NeurIPS 2025Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
- NeurIPS 2025Rectified CFG++ for Flow Based Models
- NeurIPS 2025Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling
- NeurIPS 2025Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
- NeurIPS 2025Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation
- NeurIPS 2025Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
- NeurIPS 2025Removing Concepts from Text-to-Image Models with Only Negative Samples
- NeurIPS 2025REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
- NeurIPS 2025Rendering-Aware Reinforcement Learning for Vector Graphics Generation
- NeurIPS 2025RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
- NeurIPS 2025Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
- NeurIPS 2025RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
- NeurIPS 2025Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator
- NeurIPS 2025Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
- NeurIPS 2025Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
- NeurIPS 2025RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net
- NeurIPS 2025Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
- NeurIPS 2025Salient Concept-Aware Generative Data Augmentation
- NeurIPS 2025Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
- NeurIPS 2025SAP: Exact Sorting in Splatting via Screen-Aligned Primitives
- NeurIPS 2025Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
- NeurIPS 2025ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
- NeurIPS 2025Scaling can lead to compositional generalization
- NeurIPS 2025Scaling Diffusion Transformers Efficiently via $\mu$P
- NeurIPS 2025Scaling Image Geo-Localization to Continent Level
- NeurIPS 2025SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
- NeurIPS 2025SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation
- NeurIPS 2025scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy
- NeurIPS 2025Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
- NeurIPS 2025Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
- NeurIPS 2025Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
- NeurIPS 2025Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers
- NeurIPS 2025Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
- NeurIPS 2025Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology
- NeurIPS 2025Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
- NeurIPS 2025SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
- NeurIPS 2025Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
- NeurIPS 2025ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
- NeurIPS 2025ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
- NeurIPS 2025Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
- NeurIPS 2025ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
- NeurIPS 2025Show-o2: Improved Native Unified Multimodal Models
- NeurIPS 2025Simple Distillation for One-Step Diffusion Models
- NeurIPS 2025SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference
- NeurIPS 2025SnapMoGen: Human Motion Generation from Expressive Texts
- NeurIPS 2025SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
- NeurIPS 2025Sparse Image Synthesis via Joint Latent and RoI Flow
- NeurIPS 2025SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding
- NeurIPS 2025Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
- NeurIPS 2025Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks
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。