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 30 / 42 页
- NeurIPS 2025BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
- NeurIPS 2025Boosting Generative Image Modeling via Joint Image-Feature Synthesis
- NeurIPS 2025BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
- NeurIPS 2025Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
- NeurIPS 2025Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
- NeurIPS 2025BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
- NeurIPS 2025BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
- NeurIPS 2025CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
- NeurIPS 2025CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
- NeurIPS 2025CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing
- NeurIPS 2025Can Diffusion Models Disentangle? A Theoretical Perspective
- NeurIPS 2025Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
- NeurIPS 2025CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
- NeurIPS 2025CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation
- NeurIPS 2025CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
- NeurIPS 2025CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects
- NeurIPS 2025Color Conditional Generation with Sliced Wasserstein Guidance
- NeurIPS 2025Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
- NeurIPS 2025Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
- NeurIPS 2025Composition and Alignment of Diffusion Models using Constrained Learning
- NeurIPS 2025Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
- NeurIPS 2025Compositional Monte Carlo Tree Diffusion for Extendable Planning
- NeurIPS 2025Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models
- NeurIPS 2025Compressed and Smooth Latent Space for Text Diffusion Modeling
- NeurIPS 2025Conditional Diffusion Anomaly Modeling on Graphs
- NeurIPS 2025Conditional Panoramic Image Generation via Masked Autoregressive Modeling
- NeurIPS 2025Conditioning Matters: Training Diffusion Policies is Faster Than You Think
- NeurIPS 2025Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models
- NeurIPS 2025Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
- NeurIPS 2025Constrained Diffusers for Safe Planning and Control
- NeurIPS 2025Constrained Discrete Diffusion
- NeurIPS 2025Constrained Posterior Sampling: Time Series Generation with Hard Constraints
- NeurIPS 2025Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation
- NeurIPS 2025Continuous Concepts Removal in Text-to-image Diffusion Models
- NeurIPS 2025Continuous Diffusion Model for Language Modeling
- NeurIPS 2025Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
- NeurIPS 2025Controllable Human-centric Keyframe Interpolation with Generative Prior
- NeurIPS 2025CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
- NeurIPS 2025CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step
- NeurIPS 2025Counterfactual Identifiability via Dynamic Optimal Transport
- NeurIPS 2025Counterfactual Image Editing with Disentangled Causal Latent Space
- NeurIPS 2025Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
- NeurIPS 2025CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
- NeurIPS 2025CPO: Condition Preference Optimization for Controllable Image Generation
- NeurIPS 2025Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
- NeurIPS 2025Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
- NeurIPS 2025Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
- NeurIPS 2025CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
- NeurIPS 2025Curly Flow Matching for Learning Non-gradient Field Dynamics
- NeurIPS 2025CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene 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