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 5,184 篇，第 18 / 104 页
- ICLR 2026Learning Collective Variables from BioEmu with Time-Lagged Generation
- ICLR 2026Learning Patient-Specific Disease Dynamics With Latent Flow Matching For Longitudinal Imaging Generation
- ICLR 2026Learning to Generate Stylized Handwritten Text via a Unified Representation of Style, Content, and Noise
- ICLR 2026LearnIR: Learnable Posterior Sampling for Real-World Image Restoration
- ICLR 2026Light-X: Generative 4D Video Rendering with Camera and Illumination Control
- ICLR 2026LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-guided Diffusion
- ICLR 2026Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
- ICLR 2026Localized Concept Erasure in Text-to-Image Diffusion Models via High-Level Representation Misdirection
- ICLR 2026LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization
- ICLR 2026Logit‑KL Flow Matching: Non‑Autoregressive Text Generation via Sampling‑Hybrid Inference
- ICLR 2026Long-Text-to-Image Generation via Compositional Prompt Decomposition
- ICLR 2026LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
- ICLR 2026LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation
- ICLR 2026LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
- ICLR 2026Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective
- ICLR 2026Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks
- ICLR 2026MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
- ICLR 2026MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization
- ICLR 2026Massive Editing for Large Language Models Based on Dynamic Weight Generation
- ICLR 2026MATRIX: Mask Track Alignment for Interaction-aware Video Generation
- ICLR 2026MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning
- ICLR 2026MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
- ICLR 2026MoCa: Modeling Object Consistency for 3D Camera Control in Video Generation
- ICLR 2026Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
- ICLR 2026MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling
- ICLR 2026MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
- ICLR 2026Motion-Aligned Word Embeddings for Text-to-Motion Generation
- ICLR 2026Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL Binding
- ICLR 2026MotionGPT3: Human Motion as a Second Modality
- ICLR 2026MotionStream: Real-Time Video Generation with Interactive Motion Controls
- ICLR 2026MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
- ICLR 2026Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
- ICLR 2026MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
- ICLR 2026Multimodal Aligned Semantic Knowledge for Unpaired Image-text Matching
- ICLR 2026MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning
- ICLR 2026Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks
- ICLR 2026Neodragon: Mobile Video Generation Using Diffusion Transformer
- ICLR 2026Neon: Negative Extrapolation From Self-Training Improves Image Generation
- ICLR 2026NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics
- ICLR 2026Next Visual Granularity Generation
- ICLR 2026NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
- ICLR 2026NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
- ICLR 2026Object Fidelity Diffusion for Remote Sensing Image Generation
- ICLR 2026OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning
- ICLR 2026ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
- ICLR 2026Omni-IML: Towards Unified Interpretable Image Manipulation Localization
- ICLR 2026Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images
- ICLR 2026OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal Optimization
- ICLR 2026OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation
- ICLR 2026One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
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。