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 6,899 篇，第 16 / 138 页
- ICLR 2026Dichotomous Diffusion Policy Optimization
- ICLR 2026DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation
- ICLR 2026DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion
- ICLR 2026DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
- ICLR 2026DIFFSPARSE: ACCELERATING DIFFUSION TRANSFORMERS WITH LEARNED TOKEN SPARSITY
- ICLR 2026DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
- ICLR 2026DiffuDETR: Rethinking Detection Transformers with Diffusion Process
- ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
- ICLR 2026Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
- ICLR 2026Diffusion Alignment as Variataional Expectation-Maximization
- ICLR 2026Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
- ICLR 2026Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
- ICLR 2026Diffusion Bridge Variational Inference for Deep Gaussian Processes
- ICLR 2026Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
- ICLR 2026Diffusion Language Model Knows the Answer Before It Decodes
- ICLR 2026Diffusion Language Models are Provably Optimal Parallel Samplers
- ICLR 2026Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
- ICLR 2026Diffusion Models as Dataset Distillation Priors
- ICLR 2026Diffusion Negative Preference Optimization Made Simple
- ICLR 2026Diffusion Transformers with Representation Autoencoders
- ICLR 2026Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
- ICLR 2026DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
- ICLR 2026DiffusionNFT: Online Diffusion Reinforcement with Forward Process
- ICLR 2026DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
- ICLR 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild
- ICLR 2026Discrete Adjoint Matching
- ICLR 2026Discrete Bayesian Sample Inference for Graph Generation
- ICLR 2026Discrete Diffusion for Bundle Construction
- ICLR 2026Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
- ICLR 2026Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
- ICLR 2026Disentanglement of Variations with Multimodal Generative Modeling
- ICLR 2026Distillation of Large Language Models via Concrete Score Matching
- ICLR 2026DistillKac: Few-Step Image Generation via Damped Wave Equations
- ICLR 2026Distributionally Robust Optimization via Generative Ambiguity Modeling
- ICLR 2026Diverse Text-to-Image Generation via Contrastive Noise Optimization
- ICLR 2026DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
- ICLR 2026Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
- ICLR 2026Does FLUX Already Know How to Perform Physically Plausible Image Composition?
- ICLR 2026DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
- ICLR 2026Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
- ICLR 2026Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models
- ICLR 2026DPad: Efficient Diffusion Language Models with Suffix Dropout
- ICLR 2026dParallel: Learnable Parallel Decoding for dLLMs
- ICLR 2026DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
- ICLR 2026Dragging with Geometry: From Pixels to Geometry-Guided Image Editing
- ICLR 2026DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
- ICLR 2026DreamSwapV: Mask-guided Subject Swapping for Any Customized Video Editing
- ICLR 2026DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models
- ICLR 2026DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention
- ICLR 2026Dual Language Models: Balancing sample-efficiency and overfitting resilience
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