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 83 / 138 页
- NeurIPS 2025ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
- NeurIPS 2025Adjoint Schrödinger Bridge Sampler
- NeurIPS 2025Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
- NeurIPS 2025Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization
- NeurIPS 2025Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
- NeurIPS 2025Adversarial Diffusion for Robust Reinforcement Learning
- NeurIPS 2025Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
- NeurIPS 2025Align Your Flow: Scaling Continuous-Time Flow Map Distillation
- NeurIPS 2025Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
- NeurIPS 2025AlignedGen: Aligning Style Across Generated Images
- NeurIPS 2025Aligning Compound AI Systems via System-level DPO
- NeurIPS 2025Aligning Text to Image in Diffusion Models is Easier Than You Think
- NeurIPS 2025Aligning Text-to-Image Diffusion Models to Human Preference by Classification
- NeurIPS 2025Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
- NeurIPS 2025ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
- NeurIPS 2025Ambient Diffusion Omni: Training Good Models with Bad Data
- NeurIPS 2025Ambient Proteins - Training Diffusion Models on Noisy Structures
- NeurIPS 2025An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
- NeurIPS 2025Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
- NeurIPS 2025Anchored Diffusion Language Model
- NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
- NeurIPS 2025AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation
- NeurIPS 2025Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
- NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
- NeurIPS 2025ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
- NeurIPS 2025Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
- NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
- NeurIPS 2025Attention with Trained Embeddings Provably Selects Important Tokens
- NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
- NeurIPS 2025AutoEdit: Automatic Hyperparameter Tuning for Image Editing
- NeurIPS 2025Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
- NeurIPS 2025Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
- NeurIPS 2025BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
- NeurIPS 2025BADiff: Bandwidth Adaptive Diffusion Model
- NeurIPS 2025Balanced Conic Rectified Flow
- NeurIPS 2025Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
- NeurIPS 2025Beyond Scores: Proximal Diffusion Models
- NeurIPS 2025Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
- NeurIPS 2025Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
- NeurIPS 2025BlurDM: A Blur Diffusion Model for Image Deblurring
- NeurIPS 2025BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
- NeurIPS 2025Boosting Generative Image Modeling via Joint Image-Feature Synthesis
- NeurIPS 2025BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
- NeurIPS 2025Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
- NeurIPS 2025Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
- NeurIPS 2025BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
- NeurIPS 2025BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
- NeurIPS 2025CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
- NeurIPS 2025CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
- NeurIPS 2025CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing
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