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 1 / 9 页
- NeurIPS 20253DOT: Texture Transfer for 3DGS Objects from a Single Reference Image
- NeurIPS 2025A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression
- NeurIPS 2025A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
- NeurIPS 2025Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
- NeurIPS 2025Alchemist: Turning Public Text-to-Image Data into Generative Gold
- NeurIPS 2025AlignedGen: Aligning Style Across Generated Images
- NeurIPS 2025Aligning Text to Image in Diffusion Models is Easier Than You Think
- NeurIPS 2025Aligning Text-to-Image Diffusion Models to Human Preference by Classification
- NeurIPS 2025ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
- NeurIPS 2025AmorLIP: Efficient Language-Image Pretraining via Amortization
- NeurIPS 2025Amortized Active Generation of Pareto Sets
- NeurIPS 2025AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation
- NeurIPS 2025Approximately Aligned Decoding
- NeurIPS 2025AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
- NeurIPS 2025ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
- NeurIPS 2025ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
- NeurIPS 2025ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
- NeurIPS 2025AutoPartGen: Autoregressive 3D Part Generation and Discovery
- NeurIPS 2025Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
- NeurIPS 2025AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
- NeurIPS 2025BADiff: Bandwidth Adaptive Diffusion Model
- NeurIPS 2025Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
- NeurIPS 2025Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
- NeurIPS 2025Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation
- NeurIPS 2025Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
- NeurIPS 2025Bio-Inspired Image Restoration
- NeurIPS 2025BitMark: Watermarking Bitwise Autoregressive Image Generative Models
- NeurIPS 2025Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
- NeurIPS 2025BlurDM: A Blur Diffusion Model for Image Deblurring
- NeurIPS 2025BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
- NeurIPS 2025BNMusic: Blending Environmental Noises into Personalized Music
- NeurIPS 2025Boosting Generative Image Modeling via Joint Image-Feature Synthesis
- NeurIPS 2025Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
- NeurIPS 2025Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation
- NeurIPS 2025Bridging the gap to real-world language-grounded visual concept learning
- NeurIPS 2025Building 3D Representations and Generating Motions From a Single Image via Video-Generation
- NeurIPS 2025BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
- NeurIPS 2025CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
- NeurIPS 2025CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing
- NeurIPS 2025CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
- NeurIPS 2025CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
- NeurIPS 2025CAT: Content-Adaptive Image Tokenization
- NeurIPS 2025CHiQPM: Calibrated Hierarchical Interpretable Image Classification
- NeurIPS 2025CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
- NeurIPS 2025Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
- NeurIPS 2025COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
- NeurIPS 2025Color Conditional Generation with Sliced Wasserstein Guidance
- NeurIPS 2025ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
- NeurIPS 2025Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models
- NeurIPS 2025Compress & Cache: Vision token compression for efficient generation and retrieval
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。