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 944 篇，第 9 / 19 页
- ICLR 2025Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
- ICLR 2025ControlAR: Controllable Image Generation with Autoregressive Models
- ICLR 2025Controllable Generation via Locally Constrained Resampling
- ICLR 2025ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
- ICLR 2025Copyright-Protected Language Generation via Adaptive Model Fusion
- ICLR 2025Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
- ICLR 2025Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models
- ICLR 2025Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
- ICLR 2025Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
- ICLR 2025CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
- ICLR 2025CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation
- ICLR 2025Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies
- ICLR 2025DEEM: Diffusion models serve as the eyes of large language models for image perception
- ICLR 2025DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
- ICLR 2025Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
- ICLR 2025Denoising with a Joint-Embedding Predictive Architecture
- ICLR 2025DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
- ICLR 2025Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering
- ICLR 2025DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
- ICLR 2025DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
- ICLR 2025Diffusion Bridge Implicit Models
- ICLR 2025Diffusion Transformers for Tabular Data Time Series Generation
- ICLR 2025Diffusion-based Neural Network Weights Generation
- ICLR 2025Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
- ICLR 2025Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models
- ICLR 2025Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching
- ICLR 2025Discrete Copula Diffusion
- ICLR 2025Discrete Distribution Networks
- ICLR 2025Discriminating image representations with principal distortions
- ICLR 2025DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
- ICLR 2025DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
- ICLR 2025Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
- ICLR 2025Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
- ICLR 2025Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
- ICLR 2025DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
- ICLR 2025DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
- ICLR 2025Dynamic Diffusion Transformer
- ICLR 2025Dynamic Negative Guidance of Diffusion Models
- ICLR 2025DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes
- ICLR 2025E(3)-equivariant models cannot learn chirality: Field-based molecular generation
- ICLR 2025EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation
- ICLR 2025EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
- ICLR 2025Edge-aware Image Smoothing with Relative Wavelet Domain Representation
- ICLR 2025EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation
- ICLR 2025EG4D: Explicit Generation of 4D Object without Score Distillation
- ICLR 2025Energy-Based Diffusion Language Models for Text Generation
- ICLR 2025Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
- ICLR 2025Ensembling Diffusion Models via Adaptive Feature Aggregation
- ICLR 2025Erasing Concept Combination from Text-to-Image Diffusion Model
- ICLR 2025Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
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。