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 25 / 30 页
- NeurIPS 2025Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
- NeurIPS 2025HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
- NeurIPS 2025Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
- NeurIPS 2025HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis
- NeurIPS 2025IBGS: Image-Based Gaussian Splatting
- NeurIPS 2025IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
- NeurIPS 2025Image Editing As Programs with Diffusion Models
- NeurIPS 2025Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark
- NeurIPS 2025Image Super-Resolution with Guarantees via Conformalized Generative Models
- NeurIPS 2025Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
- NeurIPS 2025ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
- NeurIPS 2025Improving Progressive Generation with Decomposable Flow Matching
- NeurIPS 2025Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity
- NeurIPS 2025Increasing the Utility of Synthetic Images through Chamfer Guidance
- NeurIPS 2025Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
- NeurIPS 2025InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation
- NeurIPS 2025Instance-Level Composed Image Retrieval
- NeurIPS 2025InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
- NeurIPS 2025InstructRestore: Region-Customized Image Restoration with Human Instructions
- NeurIPS 2025Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
- NeurIPS 2025IntrinsiX: High-Quality PBR Generation using Image Priors
- NeurIPS 2025Is Artificial Intelligence Generated Image Detection a Solved Problem?
- NeurIPS 2025Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
- NeurIPS 2025Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
- NeurIPS 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
- NeurIPS 2025KLASS: KL-Guided Fast Inference in Masked Diffusion Models
- NeurIPS 2025Kuramoto Orientation Diffusion Models
- NeurIPS 2025LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
- NeurIPS 2025Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need
- NeurIPS 2025Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
- NeurIPS 2025LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
- NeurIPS 2025Learning Diffusion Models with Flexible Representation Guidance
- NeurIPS 2025Learning normalized image densities via dual score matching
- NeurIPS 2025Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics
- NeurIPS 2025LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
- NeurIPS 2025LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
- NeurIPS 2025LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
- NeurIPS 2025Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
- NeurIPS 2025LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
- NeurIPS 2025LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
- NeurIPS 2025LMFusion: Adapting Pretrained Language Models for Multimodal Generation
- NeurIPS 2025Locality in Image Diffusion Models Emerges from Data Statistics
- NeurIPS 2025LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
- NeurIPS 2025LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
- NeurIPS 2025Low-Rank Head Avatar Personalization with Registers
- NeurIPS 2025Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework
- NeurIPS 2025MaintainCoder: Maintainable Code Generation Under Dynamic Requirements
- NeurIPS 2025Mask Image Watermarking
- NeurIPS 2025MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
- NeurIPS 2025Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
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。