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 1,792 篇,第 26 / 36 页
- CVPR 2024DemoFusion: Democratising High-Resolution Image Generation With No $$$
- CVPR 2024DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
- CVPR 2024Diff-BGM: A Diffusion Model for Video Background Music Generation
- CVPR 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
- CVPR 2024DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection
- CVPR 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
- CVPR 2024DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
- CVPR 2024DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
- CVPR 2024DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization
- CVPR 2024DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans
- CVPR 2024DiffLoc: Diffusion Model for Outdoor LiDAR Localization
- CVPR 2024DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
- CVPR 2024DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
- CVPR 2024DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
- CVPR 2024DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation
- CVPR 2024DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis
- CVPR 2024DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction
- CVPR 2024DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
- CVPR 2024DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
- CVPR 2024DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
- CVPR 2024Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
- CVPR 2024DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
- CVPR 2024Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
- CVPR 2024Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D
- CVPR 2024Diffusion Model Alignment Using Direct Preference Optimization
- CVPR 2024Diffusion Models Without Attention
- CVPR 2024Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance
- CVPR 2024Diffusion Time-step Curriculum for One Image to 3D Generation
- CVPR 2024Diffusion-based Blind Text Image Super-Resolution
- CVPR 2024Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation
- CVPR 2024Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
- CVPR 2024Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
- CVPR 2024Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field
- CVPR 2024DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
- CVPR 2024DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors
- CVPR 2024DiffusionLight: Light Probes for Free by Painting a Chrome Ball
- CVPR 2024DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
- CVPR 2024DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
- CVPR 2024DiffusionRegPose: Enhancing Multi-Person Pose Estimation using a Diffusion-Based End-to-End Regression Approach
- CVPR 2024DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking
- CVPR 2024DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
- CVPR 2024DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data
- CVPR 2024Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion
- CVPR 2024DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
- CVPR 2024Distilled Datamodel with Reverse Gradient Matching
- CVPR 2024Distilling ODE Solvers of Diffusion Models into Smaller Steps
- CVPR 2024Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing
- CVPR 2024DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
- CVPR 2024Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
- CVPR 2024DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
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