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 694 篇，第 8 / 14 页
- NeurIPS 2025LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
- NeurIPS 2025Locality in Image Diffusion Models Emerges from Data Statistics
- NeurIPS 2025Localizing Knowledge in Diffusion Transformers
- NeurIPS 2025LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
- NeurIPS 2025LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
- NeurIPS 2025Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
- NeurIPS 2025Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
- NeurIPS 2025LuxDiT: Lighting Estimation with Video Diffusion Transformer
- NeurIPS 2025MagCache: Fast Video Generation with Magnitude-Aware Cache
- NeurIPS 2025Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
- NeurIPS 2025Masked Diffusion Models as Energy Minimization
- NeurIPS 2025MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
- NeurIPS 2025Mean Flows for One-step Generative Modeling
- NeurIPS 2025Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
- NeurIPS 2025MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
- NeurIPS 2025MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
- NeurIPS 2025Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
- NeurIPS 2025MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
- NeurIPS 2025Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
- NeurIPS 2025Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
- NeurIPS 2025MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning
- NeurIPS 2025MoCha: Towards Movie-Grade Talking Character Generation
- NeurIPS 2025Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow
- NeurIPS 2025MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
- NeurIPS 2025Momentum Multi-Marginal Schrödinger Bridge Matching
- NeurIPS 2025More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
- NeurIPS 2025MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
- NeurIPS 2025MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
- NeurIPS 2025MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
- NeurIPS 2025MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
- NeurIPS 2025MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
- NeurIPS 2025Multitask Learning with Stochastic Interpolants
- NeurIPS 2025Multivariate Latent Recalibration for Conditional Normalizing Flows
- NeurIPS 2025Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
- NeurIPS 2025Native-Resolution Image Synthesis
- NeurIPS 2025Neural Entropy
- NeurIPS 2025Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics
- NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
- NeurIPS 2025Neural-Driven Image Editing
- NeurIPS 2025NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
- NeurIPS 2025NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods
- NeurIPS 2025Neurosymbolic Diffusion Models
- NeurIPS 2025Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
- NeurIPS 2025No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
- NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
- NeurIPS 2025Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
- NeurIPS 2025Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
- NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
- NeurIPS 2025Non-equilibrium Annealed Adjoint Sampler
- NeurIPS 2025Non-Markovian Discrete Diffusion with Causal Language 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