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 13 / 54 页
- CVPR 2026WorldStereo Bridging Camera-Guided Video Generation and Scene Reconstruction via 3D
- CVPR 2026X-AVDT Audio-Visual Cross-Attention for Robust Deepfake Detection
- CVPR 2026YoCity Personalized and Boundless 3D Realistic City Scene Generation via
- CVPR 2026You Only Erase Once Erasing Anything without Bringing Unexpected Content
- CVPR 2026Your Latent Mask is Wrong Pixel-Equivalent Latent Compositing for Diffusion
- CVPR 2026Yume1.5 A Text-Controlled Interactive World Generation Model
- CVPR 2026ZeroIDIR Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion
- ICLR 2026``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
- ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
- ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
- ICLR 20263D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation
- ICLR 2026A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion Transformers
- ICLR 2026A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence–Structure Co-Design
- ICLR 2026A Noise is Worth Diffusion Guidance
- ICLR 2026A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions
- ICLR 2026A Statistical Benchmark for Diffusion Posterior Sampling Algorithms
- ICLR 2026A Study of Posterior Stability in Time-Series Latent Diffusion
- ICLR 2026A Unification of Discrete, Gaussian, and Simplicial Diffusion
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- ICLR 2026Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies
- ICLR 2026AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm
- ICLR 2026Accelerated Parallel Tempering via Neural Transports
- ICLR 2026Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
- ICLR 2026Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
- ICLR 2026ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization
- ICLR 2026Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
- ICLR 2026Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
- ICLR 2026Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation
- ICLR 2026Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling
- ICLR 2026AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes
- ICLR 2026Advancing End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-Training
- ICLR 2026AEGIS: Adversarial Target–Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models
- ICLR 2026Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics
- ICLR 2026Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
- ICLR 2026AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal Transport
- ICLR 2026Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models
- ICLR 2026AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching
- ICLR 2026AlphaFlow: Understanding and Improving MeanFlow Models
- ICLR 2026Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
- ICLR 2026An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation Methods
- ICLR 2026Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion Models
- ICLR 2026Antithetic Noise in Diffusion Models
- ICLR 2026Any-Order Flexible Length Masked Diffusion
- ICLR 2026Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model
- ICLR 2026Arbitrary-Shaped Image Generation via Spherical Neural Field Diffusion
- ICLR 2026ASTRAEA: A Token-wise Acceleration Framework for Video Diffusion Transformers
- ICLR 2026Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
- ICLR 2026Attack-Resistant Watermarking for AIGC Image Forensics via Diffusion-based Semantic Deflection
- ICLR 2026Attention Is All You Need for KV Cache in Diffusion LLMs
- ICLR 2026AttriCtrl: A Generalizable Framework for Controlling Semantic Attribute Intensity in Diffusion Models
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