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 2,078 篇，第 14 / 42 页
- ICLR 2025Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models
- ICLR 2025Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
- ICLR 2025Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering
- ICLR 2025Differentiable and Learnable Wireless Simulation with Geometric Transformers
- ICLR 2025DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
- ICLR 2025DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
- ICLR 2025DiffPuter: Empowering Diffusion Models for Missing Data Imputation
- ICLR 2025DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
- ICLR 2025Diffusing States and Matching Scores: A New Framework for Imitation Learning
- ICLR 2025Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
- ICLR 2025Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
- ICLR 2025Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
- ICLR 2025Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
- ICLR 2025Diffusion Bridge Implicit Models
- ICLR 2025Diffusion Feedback Helps CLIP See Better
- ICLR 2025Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
- ICLR 2025Diffusion Models are Evolutionary Algorithms
- ICLR 2025Diffusion Models Are Real-Time Game Engines
- ICLR 2025Diffusion Models as Cartoonists: The Curious Case of High Density Regions
- ICLR 2025Diffusion On Syntax Trees For Program Synthesis
- ICLR 2025Diffusion Policy Policy Optimization
- ICLR 2025Diffusion State-Guided Projected Gradient for Inverse Problems
- ICLR 2025Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
- ICLR 2025Diffusion Transformers for Tabular Data Time Series Generation
- ICLR 2025Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting
- ICLR 2025Diffusion-based Neural Network Weights Generation
- ICLR 2025Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
- ICLR 2025Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
- ICLR 2025Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models
- ICLR 2025DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
- ICLR 2025Direct Distributional Optimization for Provable Alignment of Diffusion Models
- ICLR 2025Discrete Copula Diffusion
- ICLR 2025Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
- ICLR 2025DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
- ICLR 2025Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
- ICLR 2025Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
- ICLR 2025DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors
- ICLR 2025Does Training with Synthetic Data Truly Protect Privacy?
- ICLR 2025DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning
- ICLR 2025Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
- ICLR 2025DPLM-2: A Multimodal Diffusion Protein Language Model
- ICLR 2025DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
- ICLR 2025DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
- ICLR 2025DSPO: Direct Score Preference Optimization for Diffusion Model Alignment
- ICLR 2025Dynamic Diffusion Transformer
- ICLR 2025Dynamic Negative Guidance of Diffusion Models
- ICLR 2025Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
- ICLR 2025DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes
- ICLR 2025Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance
- ICLR 2025EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation
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