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 1,721 篇，第 34 / 35 页
- NeurIPS 2026Stochastic Interpolants via Conditional Dependent Coupling
- NeurIPS 2026Structural Self-Teaching for Compositional Generation in Unified Multimodal Models
- NeurIPS 2026Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis
- NeurIPS 2026Structured State-Space Regularization for Generation-Friendly Image Tokenization
- NeurIPS 2026SynBench: A Benchmark for Differentially Private Text Generation
- NeurIPS 2026SynMQG: Disentanglement and Mutual-Information Optimization for Synergistic Multi-modal Question Generation
- NeurIPS 2026Synsema: Syntax-Guided Learning of Semantically Valid Programs
- NeurIPS 2026Synthon Contrastive Learning for Synthesizable 3D Molecule Generation
- NeurIPS 2026TaxaAdapter: Scaling Fine-grained Species Image Generation To the Tree of Life
- NeurIPS 2026Temperature-Regulated Stochastic Sampling for Diffusion-Based High-Quality Molecular Generation
- NeurIPS 2026Tempered Guided Diffusion
- NeurIPS 2026TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows
- NeurIPS 2026TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents
- NeurIPS 2026Tethered Predictive-Inertial Proposals with Objective Verification for Diffusion-Prior Inverse Problems
- NeurIPS 2026Text-Vision Co-Instructed Image Editing
- NeurIPS 2026The Fault in Our Metrics: Revisiting Generative Model Evaluation with Chamfer Distance
- NeurIPS 2026The Future of Facts: Tracing the Factual Generation-Verification Gap
- NeurIPS 2026The limbic navigation system as a hierarchical RNN
- NeurIPS 2026The road reaches every place, the short cut only one: Self-Adversarial Shortcut Mitigation for AI-Generated Image Detection
- NeurIPS 2026The Sharp Directions Are Against You: Curvature Analysis of Activation Steering
- NeurIPS 2026Thinking in Boxes: 3D Editing in Real Images Made Easy
- NeurIPS 2026Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation
- NeurIPS 2026TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models
- NeurIPS 2026TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization
- NeurIPS 2026TKCAM: Text and Keyframe to Camera Trajectory Generation
- NeurIPS 2026Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models
- NeurIPS 2026Tokenizer-Generator Coupling in Medical Image Generation
- NeurIPS 2026TokenRepel: Generating Diverse Image Sets Without Sacrificing Quality
- NeurIPS 2026Tool-IQA: Augmenting Image Quality Assessment with Simple Tools
- NeurIPS 2026Topology-Reinforced Swin Transformer for Medical Image Analysis
- NeurIPS 2026Transforming Image Editors into Video Editors
- NeurIPS 2026TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
- NeurIPS 2026TreemapMix: Dirichlet-Controlled Multi-Image Augmentation for Probability and Ordinal Supervision
- NeurIPS 2026Trellis4D: Complex 4D Mesh Generation
- NeurIPS 2026Tri-Prompting: Controllable Video Generation with Scene, Subject, and Motion Prompts
- NeurIPS 2026TRIAD: Benchmarking Omni-Modal Ambiguity in Multimodal Large Language Models
- NeurIPS 2026TrioPose: Native Triple-Stream Diffusion Transformers for Pose-Guided Text-to-Image Generation
- NeurIPS 2026TriTD: Tri-Partite Trajectory–Distribution Distillation for Real-Time Autoregressive Video Generation
- NeurIPS 2026Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
- NeurIPS 2026Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching
- NeurIPS 2026Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance
- NeurIPS 2026UniCustom: Unified Visual Conditioning for Multi-reference Image Generation
- NeurIPS 2026Unified Forensic Preference Learning for Generalizable Synthetic Image Detection
- NeurIPS 2026Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis
- NeurIPS 2026UniSHARP: Universal Sharp Monocular View Synthesis
- NeurIPS 2026Universal Time Series Generation with Neural Controlled Differential Equations
- NeurIPS 2026VAR-Q: Tuning-free KV Cache Quantization for Visual Autoregressive Image and Video Generation
- NeurIPS 2026Variational Wasserstein Model on Riemannian Manifolds for Image Segmentation
- NeurIPS 2026VeriContest: A Competitive-Programming Benchmark for Verifiable Code Generation
- NeurIPS 2026Verifier Choice is a Benchmark Design Variable: Auditing Structural Counting Evaluation in Text-to-Image Models
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。