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 86 / 138 页
- NeurIPS 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
- NeurIPS 2025DreamLight: Towards Harmonious and Consistent Image Relighting
- NeurIPS 2025Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization
- NeurIPS 2025DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
- NeurIPS 2025Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions
- NeurIPS 2025Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
- NeurIPS 2025Dynamic View Synthesis as an Inverse Problem
- NeurIPS 2025DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations
- NeurIPS 2025EchoShot: Multi-Shot Portrait Video Generation
- NeurIPS 2025EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
- NeurIPS 2025Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations
- NeurIPS 2025EditInfinity: Image Editing with Binary-Quantized Generative Models
- NeurIPS 2025Efficient Rectified Flow for Image Fusion
- NeurIPS 2025Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
- NeurIPS 2025Emergence and Evolution of Interpretable Concepts in Diffusion Models
- NeurIPS 2025Emergent Temporal Correspondences from Video Diffusion Transformers
- NeurIPS 2025Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
- NeurIPS 2025Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
- NeurIPS 2025Energy Loss Functions for Physical Systems
- NeurIPS 2025Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
- NeurIPS 2025Energy-based generator matching: A neural sampler for general state space
- NeurIPS 2025Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
- NeurIPS 2025Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning
- NeurIPS 2025ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators
- NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
- NeurIPS 2025Entropy Rectifying Guidance for Diffusion and Flow Models
- NeurIPS 2025Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
- NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
- NeurIPS 2025EVODiff: Entropy-aware Variance Optimized Diffusion Inference
- NeurIPS 2025Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
- NeurIPS 2025Exploring Diffusion Transformer Designs via Grafting
- NeurIPS 2025Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
- NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
- NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
- NeurIPS 2025Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
- NeurIPS 2025Failure Prediction at Runtime for Generative Robot Policies
- NeurIPS 2025FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
- NeurIPS 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
- NeurIPS 2025Fast constrained sampling in pre-trained diffusion models
- NeurIPS 2025Fast Data Attribution for Text-to-Image Models
- NeurIPS 2025Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
- NeurIPS 2025Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
- NeurIPS 2025FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
- NeurIPS 2025Faster Video Diffusion with Trainable Sparse Attention
- NeurIPS 2025Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities
- NeurIPS 2025Feedback Guidance of Diffusion Models
- NeurIPS 2025Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
- NeurIPS 2025Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
- NeurIPS 2025FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
- NeurIPS 2025Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
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