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 2,202 篇，第 25 / 45 页
- NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
- NeurIPS 2025Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology
- NeurIPS 2025Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
- NeurIPS 2025Sequence Modeling with Spectral Mean Flows
- NeurIPS 2025SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
- NeurIPS 2025Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models
- NeurIPS 2025Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
- NeurIPS 2025ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
- NeurIPS 2025Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
- NeurIPS 2025ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
- NeurIPS 2025Show-o2: Improved Native Unified Multimodal Models
- NeurIPS 2025Sign-In to the Lottery: Reparameterizing Sparse Training
- NeurIPS 2025Simple Distillation for One-Step Diffusion Models
- NeurIPS 2025Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
- NeurIPS 2025Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
- NeurIPS 2025Solving Inverse Problems with FLAIR
- NeurIPS 2025SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement
- NeurIPS 2025Space Group Equivariant Crystal Diffusion
- NeurIPS 2025Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
- NeurIPS 2025SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
- NeurIPS 2025Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
- NeurIPS 2025Sparse Image Synthesis via Joint Latent and RoI Flow
- NeurIPS 2025Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
- NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
- NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
- NeurIPS 2025Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
- NeurIPS 2025Split Gibbs Discrete Diffusion Posterior Sampling
- NeurIPS 2025SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing
- NeurIPS 2025SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path
- NeurIPS 2025SPRO: Improving Image Generation via Self-Play
- NeurIPS 2025SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
- NeurIPS 2025SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
- NeurIPS 2025Stable Matching with Ties: Approximation Ratios and Learning
- NeurIPS 2025Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
- NeurIPS 2025StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
- NeurIPS 2025STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
- NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
- NeurIPS 2025State-Covering Trajectory Stitching for Diffusion Planners
- NeurIPS 2025StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
- NeurIPS 2025STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model
- NeurIPS 2025Steering Generative Models with Experimental Data for Protein Fitness Optimization
- NeurIPS 2025STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
- NeurIPS 2025Stochastic Process Learning via Operator Flow Matching
- NeurIPS 2025Straight-Line Diffusion Model for Efficient 3D Molecular Generation
- NeurIPS 2025Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching
- NeurIPS 2025Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
- NeurIPS 2025StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization
- NeurIPS 2025StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations
- NeurIPS 2025SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios
- NeurIPS 2025SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction
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