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 520 篇,第 6 / 11 页
- NeurIPS 2024Guiding a Diffusion Model with a Bad Version of Itself
- NeurIPS 2024HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
- NeurIPS 2024Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation
- NeurIPS 2024Hamiltonian Score Matching and Generative Flows
- NeurIPS 2024HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation
- NeurIPS 2024HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness
- NeurIPS 2024Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
- NeurIPS 2024How Control Information Influences Multilingual Text Image Generation and Editing?
- NeurIPS 2024How Diffusion Models Learn to Factorize and Compose
- NeurIPS 2024How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
- NeurIPS 2024How to Use Diffusion Priors under Sparse Views?
- NeurIPS 2024Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
- NeurIPS 2024Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models
- NeurIPS 2024HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
- NeurIPS 2024Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
- NeurIPS 2024ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling
- NeurIPS 2024Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
- NeurIPS 2024Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
- NeurIPS 2024IllumiNeRF: 3D Relighting Without Inverse Rendering
- NeurIPS 2024Image Copy Detection for Diffusion Models
- NeurIPS 2024Image Reconstruction Via Autoencoding Sequential Deep Image Prior
- NeurIPS 2024Images that Sound: Composing Images and Sounds on a Single Canvas
- NeurIPS 2024IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation
- NeurIPS 2024Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
- NeurIPS 2024Improved Distribution Matching Distillation for Fast Image Synthesis
- NeurIPS 2024Improved off-policy training of diffusion samplers
- NeurIPS 2024Improved Sample Complexity Bounds for Diffusion Model Training
- NeurIPS 2024Improving the Training of Rectified Flows
- NeurIPS 2024In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
- NeurIPS 2024Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
- NeurIPS 2024InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
- NeurIPS 2024InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
- NeurIPS 2024InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
- NeurIPS 2024Interpreting the Weight Space of Customized Diffusion Models
- NeurIPS 2024Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
- NeurIPS 2024Invisible Image Watermarks Are Provably Removable Using Generative AI
- NeurIPS 2024IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
- NeurIPS 2024Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.
- NeurIPS 2024Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
- NeurIPS 2024KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
- NeurIPS 2024LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction
- NeurIPS 2024Latent Diffusion for Neural Spiking Data
- NeurIPS 2024Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
- NeurIPS 2024LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
- NeurIPS 2024Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
- NeurIPS 2024Learning diffusion at lightspeed
- NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
- NeurIPS 2024Learning Discrete Concepts in Latent Hierarchical Models
- NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
- NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
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