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 3 / 138 页
- CVPR 2026DABO Difficulty-Aware Bayesian Optimization with Diffusion-Learned Priors
- CVPR 2026DBMSolver A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation
- CVPR 2026DDiT Dynamic Patch Scheduling for Efficient Diffusion Transformers
- CVPR 2026DDT Decoupled Diffusion Transformer
- CVPR 2026DeCo Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation
- CVPR 2026Decoupled Generative Modeling for Human-Object Interaction Synthesis
- CVPR 2026Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient
- CVPR 2026Degradation-Robust Fusion An Efficient Degradation-Aware Diffusion Framework for Multimodal Image
- CVPR 2026DeltaQuant 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing
- CVPR 2026Denoising as Path Planning Training-Free Acceleration of Diffusion Models with
- CVPR 2026Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification
- CVPR 2026DeX-Portrait Disentangled and Expressive Portrait Animation via Explicit and Latent
- CVPR 2026Dexterous World Models
- CVPR 2026DICArt Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces
- CVPR 2026Diff-SemiER Transparency-Aware Adaptive Fusion Diffusion Model with Generative Prior for
- CVPR 2026Diff4Splat Repurposing Video Diffusion Models for Dynamic Scene Generation
- CVPR 2026DiffDecompose Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
- CVPR 2026DiffGraph An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image
- CVPR 2026Diffusion Guided Chain-of-Vision for Large Autoregressive Vision Models
- CVPR 2026Diffusion Mental Averages
- CVPR 2026Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding
- CVPR 2026Diffusion Probe Generated Image Result Prediction Using CNN Probes
- CVPR 2026Diffusion Sampling Path Tells More An Efficient Plug-and-Play Strategy for
- CVPR 2026Diffusion with a Linguistic Compass Steering the Generation of Clinically
- CVPR 2026Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
- CVPR 2026Diffusion-Based Native Adversarial Synthesis for Enhanced Medical Segmentation Generalization
- CVPR 2026Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning
- CVPR 2026DiffusionFF A Diffusion-based Framework for Joint Face Forgery Detection and
- CVPR 2026DiffusionHarmonizer Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion
- CVPR 2026DiffuView Multi-View Diffusion Pretraining for 3D Aware Robotic Manipulation
- CVPR 2026DiP Taming Diffusion Models in Pixel Space
- CVPR 2026DisCa Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching
- CVPR 2026Disentangled Textual Priors for Diffusion-based Image Super-Resolution
- CVPR 2026DiT-IC Aligned Diffusion Transformer for Efficient Image Compression
- CVPR 2026Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization
- CVPR 2026DiverseDiT Towards Diverse Representation Learning in Diffusion Transformers
- CVPR 2026DMAligner Enhancing Image Alignment via Diffusion Model Based View Synthesis
- CVPR 2026DMGD Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
- CVPR 2026dMLLM-TTS Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large
- CVPR 2026DNF-SR Dual-Input and Negative-Aware Feature Fine-Tuning for Real-World Image Super-Resolution
- CVPR 2026Do Less Achieve More Do We Need Every-Step Optimization for
- CVPR 2026DreamShot Personalized Storyboard Synthesis with Video Diffusion Prior
- CVPR 2026DreamSR Towards Ultra-High-Resolution Image Super-Resolution via a Receptive-Field Enhanced Diffusion
- CVPR 2026DRiffusion Draft-and-Refine Process Parallelizes Diffusion Models with Ease
- CVPR 2026DrivePTS A Progressive Learning Framework with Textual and Structural Enhancement
- CVPR 2026DRM Diffusion-based Reward Model With Step-wise Guidance
- CVPR 2026DTG-Restore Training-Free Diffusion Refinement for Generative Video Super-Resolution
- CVPR 2026Dual Ascent Diffusion for Inverse Problems
- CVPR 2026DUO-VSR Dual-Stream Distillation for One-Step Video Super-Resolution
- CVPR 2026DuoMo Dual Motion Diffusion for World-Space Human Reconstruction
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