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 327 篇,第 1 / 7 页
- NeurIPS 20233D molecule generation by denoising voxel grids
- NeurIPS 2023A Diffusion-Model of Joint Interactive Navigation
- NeurIPS 2023A generative model of the hippocampal formation trained with theta driven local learning rules
- NeurIPS 2023A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
- NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
- NeurIPS 2023A Unified Conditional Framework for Diffusion-based Image Restoration
- NeurIPS 2023A Unified Framework for U-Net Design and Analysis
- NeurIPS 2023AbDiffuser: full-atom generation of in-vitro functioning antibodies
- NeurIPS 2023Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
- NeurIPS 2023Adaptive Online Replanning with Diffusion Models
- NeurIPS 2023Add and Thin: Diffusion for Temporal Point Processes
- NeurIPS 2023Addressing Negative Transfer in Diffusion Models
- NeurIPS 2023Adversarial Examples Are Not Real Features
- NeurIPS 2023Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- NeurIPS 2023Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
- NeurIPS 2023Ambient Diffusion: Learning Clean Distributions from Corrupted Data
- NeurIPS 2023Any-to-Any Generation via Composable Diffusion
- NeurIPS 2023AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
- NeurIPS 2023Are Diffusion Models Vision-And-Language Reasoners?
- NeurIPS 2023ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
- NeurIPS 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
- NeurIPS 2023AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
- NeurIPS 2023Autodecoding Latent 3D Diffusion Models
- NeurIPS 2023BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
- NeurIPS 2023Beta Diffusion
- NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
- NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
- NeurIPS 2023Block-State Transformers
- NeurIPS 2023Boundary Guided Learning-Free Semantic Control with Diffusion Models
- NeurIPS 2023Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
- NeurIPS 2023Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
- NeurIPS 2023Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
- NeurIPS 2023Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
- NeurIPS 2023Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation
- NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
- NeurIPS 2023Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
- NeurIPS 2023Collaborative Score Distillation for Consistent Visual Editing
- NeurIPS 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
- NeurIPS 2023Complexity Matters: Rethinking the Latent Space for Generative Modeling
- NeurIPS 2023Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
- NeurIPS 2023Compositional Foundation Models for Hierarchical Planning
- NeurIPS 2023Compositional Sculpting of Iterative Generative Processes
- NeurIPS 2023Concept Algebra for (Score-Based) Text-Controlled Generative Models
- NeurIPS 2023Conditional Matrix Flows for Gaussian Graphical Models
- NeurIPS 2023Conditional Score Guidance for Text-Driven Image-to-Image Translation
- NeurIPS 2023Conditional score-based diffusion models for Bayesian inference in infinite dimensions
- NeurIPS 2023Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
- NeurIPS 2023ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
- NeurIPS 2023Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
- NeurIPS 2023Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for 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