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 9 / 138 页
- CVPR 2026PLACID Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories
- CVPR 2026PlannerRFT Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning
- CVPR 2026Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers
- CVPR 2026PnP-CM Consistency Models as Plug-and-Play Priors for Inverse Problems
- CVPR 2026Points-to-3D Structure-Aware 3D Generation with Point Cloud Priors
- CVPR 2026Polyphony Diffusion-based Dual-Hand Action Segmentation with Alternating Vision Transformer and
- CVPR 2026PoseD-Flow Versatile and Guided Flow Matching Model of Human Pose
- CVPR 2026PR-IQA Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis
- CVPR 2026Pressure2Motion Hierarchical Human Motion Reconstruction from Ground Pressure with Text
- CVPR 2026PrITTI Primitive-based Generation of Controllable and Editable 3D Semantic Urban
- CVPR 2026PrivateEyes Gaze-Preserving Anonymization for Data Sharing
- CVPR 2026Probabilistic Discrepancy Learning for Roadside LiDAR Scene Completion
- CVPR 2026Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
- CVPR 2026Progressive Supernet Training for Efficient Visual Autoregressive Modeling
- CVPR 2026ProjFlow Projection Sampling with Flow Matching for Zero-Shot Exact Spatial
- CVPR 2026PROMO Promptable Outfitting for Efficient High-Fidelity Virtual Try-On
- CVPR 2026PromptEnhancer Taming Your Rewriter for Text-to-Image Generation via Fine-Grained Reward
- CVPR 2026PromptLoop Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model
- CVPR 2026PropFly Learning to Propagate via On-the-Fly Supervision from Pre-trained Video
- CVPR 2026Prototype-Guided Concept Erasure in Diffusion Models
- CVPR 2026Proxy-Tuning Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation
- CVPR 2026PS-SR Pseudo-Single-Step Video Super-Resolution via Speculative Diffusion
- CVPR 2026PyramidalWan On Making Pretrained Video Model Pyramidal for Efficient Inference
- CVPR 2026Qwen-Image-Layered Towards Inherent Editability via Layer Decomposition
- CVPR 2026RADAR VQ-VAE Decoder of VAR is a Good Student for
- CVPR 2026RAISE Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment
- CVPR 2026RAPID Reusing Attention Sparsity with Inter-step Adaptation for Efficient Video
- CVPR 2026RawMetaDiff Unlocking Extreme Darkness from Dual-Exposure RAW with Meta-Guided Diffusion
- CVPR 2026RDF-MIG A Robust Diffusion Framework for Masked Image Generation to
- CVPR 2026REACH Explicit Recovery Behavior for Diffusion Policies
- CVPR 2026Real-Time Generation of Streamable Talking Portrait Video with Reference-Guided Deep
- CVPR 2026Realiz3D 3D Generation Made Photorealistic via Domain-Aware Learning
- CVPR 2026RebRL Reinforcing Discrete Visual Diffusion Models with Rebalanced Timestep Credits
- CVPR 2026ReCoFuse Ultra-Robust Image Fusion via Restorative Multi-Modal Diffusion Reciprocal Coupling
- CVPR 2026Rectifying Latent Space for Generative Single-Image Reflection Removal
- CVPR 2026RecTok Reconstruction Distillation along Rectified Flow
- CVPR 2026Red-teaming Retrieval-Augmented Diffusion Models via Poisoning Knowledge Bases
- CVPR 2026Refacade Editing Object with Given Reference Texture
- CVPR 2026Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
- CVPR 2026Reflection Separation from a Single Image via Joint Latent Diffusion
- CVPR 2026ReFlow Self-correction Motion Learning for Dynamic Scene Reconstruction
- CVPR 2026Region-Adaptive Sampling for Diffusion Transformers
- CVPR 2026RegionRoute Regional Style Transfer with Diffusion Model
- CVPR 2026ReHyAt Recurrent Hybrid Attention for Video Diffusion Transformers
- CVPR 2026Relightful Video Portrait Harmonization
- CVPR 2026Remote Sensing Image Super-Resolution for Imbalanced Textures A Texture-Aware Diffusion
- CVPR 2026RenderFlow Single-Step Neural Rendering via Flow Matching
- CVPR 2026Repurposing 3D Generative Model for Autoregressive Layout Generation
- CVPR 2026ResCa Residual Caching for Diffusion Transformers Acceleration
- CVPR 2026ResDiT Evoking the Intrinsic Resolution Scalability in Diffusion Transformers
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