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 2,690 篇，第 25 / 54 页
- ICLR 2026Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization
- ICLR 2026Streaming Autoregressive Video Generation via Diagonal Distillation
- ICLR 2026Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
- ICLR 2026Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
- ICLR 2026Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models
- ICLR 2026Structured Flow Autoencoders: Learning Structured Probabilistic Representations with Flow Matching
- ICLR 2026SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling
- ICLR 2026Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models
- ICLR 2026Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework
- ICLR 2026TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
- ICLR 2026Target-Aware Video Diffusion Models
- ICLR 2026TEDM: Time Series Forecasting with Elucidated Diffusion Models
- ICLR 2026TEMPFLOW-GRPO: WHEN TIMING MATTERS FOR GRPO IN FLOW MODELS
- ICLR 2026Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions
- ICLR 2026TEN-DM: Topology-Enhanced Diffusion Model for Spatio-Temporal Event Prediction
- ICLR 2026Terminal Velocity Matching
- ICLR 2026Test-Time Iterative Error Correction for Efficient Diffusion Models
- ICLR 2026TEST-TIME SCALING IN DIFFUSION LLMS VIA HIDDEN SEMI-AUTOREGRESSIVE EXPERTS
- ICLR 2026Test-Time Training Done Right
- ICLR 2026Text-Aware Image Restoration with Diffusion Models
- ICLR 2026Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator
- ICLR 2026The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs
- ICLR 2026The Diffusion Duality, Chapter II: $\Psi$-Samplers and Efficient Curriculum
- ICLR 2026The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models
- ICLR 2026The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
- ICLR 2026The Serial Scaling Hypothesis
- ICLR 2026The Spacetime of Diffusion Models: An Information Geometry Perspective
- ICLR 2026There and Back Again: On the relation between Noise and Image Inversions in Diffusion Models
- ICLR 2026Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
- ICLR 2026Time-Gated Multi-Scale Flow Matching for Time-Series Imputation
- ICLR 2026Time-to-Move: Training-Free Motion-Controlled Video Generation via Dual-Clock Denoising
- ICLR 2026TINKER: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization
- ICLR 2026Token-Based Audio Inpainting via Discrete Diffusion
- ICLR 2026Topological Flow Matching
- ICLR 2026TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions
- ICLR 2026Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
- ICLR 2026Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI
- ICLR 2026Towards Better Optimization For Listwise Preference in Diffusion Models
- ICLR 2026Towards Interpretable Visual Decoding with Attention to Brain Representations
- ICLR 2026Towards One-step Causal Video Generation via Adversarial Self-Distillation
- ICLR 2026TPDiff: Temporal Pyramid Video Diffusion Model
- ICLR 2026TRACE: Your Diffusion Model is Secretly an Instance Edge Detector
- ICLR 2026TRACEDET: HALLUCINATION DETECTION FROM THE DECODING TRACE OF DIFFUSION LARGE LANGUAGE MODELS
- ICLR 2026Training-Free Reward-Guided Image Editing via Trajectory Optimal Control
- ICLR 2026Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
- ICLR 2026TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
- ICLR 2026Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
- ICLR 2026TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models
- ICLR 2026Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
- ICLR 2026TS-Attn: Temporal-wise Separable Attention for Multi-Event Video 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