扩散模型论文趋势 2023–2026
扩散、flow matching 与 score-based 生成
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,900 篇被归入该主题的论文。
主要结论
- 扩散模型论文从 2023 年的 660 篇增长到 2026 年的 2,691 篇，三年间扩大到约 4.1 倍。
- NeurIPS 是发扩散模型论文最多的会议，2023–2026 年共 2,202 篇，占四个会议总量的 32%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 14 篇增至 2026 年的 163 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 1；同组增长最快的深度学习 · foundation models是 2.5 倍，扩散模型是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
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$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
- ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
- CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
- NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
- ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
- NeurIPS 20233D molecule generation by denoising voxel grids
- ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
- ICLR 2023(Certified!!) Adversarial Robustness for Free!
- CVPR 20233D Neural Field Generation Using Triplane Diffusion
- NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
- ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
- ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
- CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions
全部扩散模型论文
共 1,378 篇，第 9 / 28 页
- ICML 2026MMPD-Bench: Bridging Multimodal Fission with Multi-Polarimetric Modalities Decomposition
- ICML 2026MOD-SR: Unifying Multimodal Learning and Direct Optimization with Gradient-Guided Diffusion Model for Symbolic Regression
- ICML 2026Mode Seeking meets Mean Seeking for Fast Long Video Generation
- ICML 2026Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
- ICML 2026MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology
- ICML 2026Mosaic: Unlocking Over 30$\times$ Context Length for Diffusion LLMs Inference via Global Memory Planning and Dynamic Peak Taming
- ICML 2026Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening
- ICML 2026MPFM: Cross Multi-Domain Prototype Flow Matching for Log Anomaly Detection
- ICML 2026Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
- ICML 2026Multi-Objective Protein Design via Memory-Aware Test-Time Scaling in Diffusion Models
- ICML 2026Multimarginal flow matching with optimal transport potentials
- ICML 2026Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
- ICML 2026Multimodal Latent Language Modeling with Next-Token Diffusion
- ICML 2026NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices
- ICML 2026NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
- ICML 2026Native Spatio-Temporal 4D Variational Autoencoder
- ICML 2026NaviCache: Test-Time Self-Calibration Caching for Video Generation
- ICML 2026Navigating the Energy Landscape of Collaboration: Multi-Agent Communication Graph Generation via Score-Based Diffusion
- ICML 2026NavOL: Navigation Policy with Online Imitation Learning
- ICML 2026NetDiff: Graph Diffusion with Improved Global Capabilities to Generate and Update Mobile Network Topologies
- ICML 2026NeuronCtrl: Geometry-Aware Safe Closed-Loop Generative Control for Neuronal Microenvironment Dynamics
- ICML 2026NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces
- ICML 2026Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning
- ICML 2026NOMAD: Lifelong Trajectory Planning via Non-Parametric Bayesian Memory-Adaptive Diffusion Experts
- ICML 2026Nonparametric Data Attribution for Diffusion Models
- ICML 2026Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
- ICML 2026Normalizing Flows with Iterative Denoising
- ICML 2026Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
- ICML 2026OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation
- ICML 2026Offline Multi-Agent Reinforcement Learning via Sequential Score Decomposition
- ICML 2026Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs
- ICML 2026Offline Reinforcement Learning with Generative Trajectory Policies
- ICML 2026Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
- ICML 2026OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation
- ICML 2026OMP: One-step Meanflow Policy with Directional Alignment
- ICML 2026On the Anisotropy of Score-Based Generative Models
- ICML 2026On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
- ICML 2026On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching
- ICML 2026On the Robustness of Langevin Dynamics to Score Function Error
- ICML 2026On the Separability of Information in Diffusion Models
- ICML 2026One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
- ICML 2026One-step Latent-free Image Generation with Pixel Mean Flows
- ICML 2026One-step Optimal Transport via Regularized Distribution Matching Distillation
- ICML 2026One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation
- ICML 2026Optimal Stopping in Latent Diffusion Models
- ICML 2026Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech
- ICML 2026Optimizing Few-Step Generation with Adaptive Matching Distillation
- ICML 2026Optimizing Visual Generative Models via Distribution-wise Rewards
- ICML 2026OPTION: Optimal Transport–Guided Flow Matching for Incomplete and Unaligned Multi-View Clustering
- ICML 2026Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching
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 查扩散模型在 NeurIPS 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": "diffusion-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇扩散模型论文？
- 共 6,900 篇，按年份分别是 2023 年 660 篇、2024 年 1,471 篇、2025 年 2,078 篇、2026 年 2,691 篇。
- NeurIPS 2026 有多少篇扩散模型论文？
- NeurIPS 2026 有 661 篇扩散模型论文，上一届是 694 篇。
- ICLR 2026 有多少篇扩散模型论文？
- ICLR 2026 有 694 篇扩散模型论文，上一届是 487 篇。
- ICML 2026 有多少篇扩散模型论文？
- ICML 2026 有 728 篇扩散模型论文，上一届是 346 篇。
- CVPR 2026 有多少篇扩散模型论文？
- CVPR 2026 有 608 篇扩散模型论文，上一届是 551 篇。
- 哪个会议的扩散模型论文最多？
- NeurIPS，2023–2026 年共 2,202 篇。
「深度学习」下的其他主题
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197