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 487 篇,第 1 / 10 页
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- ICLR 2025$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
- ICLR 20253DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
- ICLR 20253DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation
- ICLR 2025A Geometric Framework for Understanding Memorization in Generative Models
- ICLR 2025A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
- ICLR 2025A Large-scale Training Paradigm for Graph Generative Models
- ICLR 2025A Periodic Bayesian Flow for Material Generation
- ICLR 2025A Simple Approach to Unifying Diffusion-based Conditional Generation
- ICLR 2025A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
- ICLR 2025A3D: Does Diffusion Dream about 3D Alignment?
- ICLR 2025Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
- ICLR 2025Accelerating Diffusion Transformers with Token-wise Feature Caching
- ICLR 2025ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer
- ICLR 2025ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
- ICLR 2025Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
- ICLR 2025Adding Conditional Control to Diffusion Models with Reinforcement Learning
- ICLR 2025Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
- ICLR 2025Advancing Graph Generation through Beta Diffusion
- ICLR 2025Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
- ICLR 2025AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
- ICLR 2025Aligned Datasets Improve Detection of Latent Diffusion-Generated Images
- ICLR 2025Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
- ICLR 2025Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
- ICLR 2025An Efficient Framework for Crediting Data Contributors of Diffusion Models
- ICLR 2025An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
- ICLR 2025An Undetectable Watermark for Generative Image Models
- ICLR 2025Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
- ICLR 2025Anti-Exposure Bias in Diffusion Models
- ICLR 2025ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
- ICLR 2025AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
- ICLR 2025Atlas Gaussians Diffusion for 3D Generation
- ICLR 2025Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
- ICLR 2025Autoregressive Video Generation without Vector Quantization
- ICLR 2025AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
- ICLR 2025Bayesian Experimental Design Via Contrastive Diffusions
- ICLR 2025Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
- ICLR 2025Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
- ICLR 2025Bias Mitigation in Graph Diffusion Models
- ICLR 2025BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
- ICLR 2025Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
- ICLR 2025Boltzmann priors for Implicit Transfer Operators
- ICLR 2025Boosting Latent Diffusion with Perceptual Objectives
- ICLR 2025Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
- ICLR 2025BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation
- ICLR 2025Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
- ICLR 2025Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation
- ICLR 2025CameraCtrl: Enabling Camera Control for Video Diffusion Models
- ICLR 2025CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
- ICLR 2025CFG++: Manifold-constrained Classifier Free Guidance for 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