扩散模型论文趋势 2023–2026

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。

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 2 / 11 页

51. NeurIPS 2024Attack-Resilient Image Watermarking Using Stable Diffusion
52. NeurIPS 2024AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
53. NeurIPS 2024Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI
54. NeurIPS 2024Autoregressive Image Generation without Vector Quantization
55. NeurIPS 2024BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
56. NeurIPS 2024BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation
57. NeurIPS 2024BiDM: Pushing the Limit of Quantization for Diffusion Models
58. NeurIPS 2024Binarized Diffusion Model for Image Super-Resolution
59. NeurIPS 2024BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
60. NeurIPS 2024BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference
61. NeurIPS 2024Blind Image Restoration via Fast Diffusion Inversion
62. NeurIPS 2024BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
63. NeurIPS 2024Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
64. NeurIPS 2024Boosting Text-to-Video Generative Model with MLLMs Feedback
65. NeurIPS 2024BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
66. NeurIPS 2024Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
67. NeurIPS 2024Breaking Semantic Artifacts for Generalized AI-generated Image Detection
68. NeurIPS 2024Bridging Geometric States via Geometric Diffusion Bridge
69. NeurIPS 2024Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
70. NeurIPS 2024CAT3D: Create Anything in 3D with Multi-View Diffusion Models
71. NeurIPS 2024Categorical Flow Matching on Statistical Manifolds
72. NeurIPS 2024Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
73. NeurIPS 2024CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
74. NeurIPS 2024CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
75. NeurIPS 2024ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
76. NeurIPS 2024Classification Diffusion Models: Revitalizing Density Ratio Estimation
77. NeurIPS 2024ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
78. NeurIPS 2024CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
79. NeurIPS 2024CLIP in Mirror: Disentangling text from visual images through reflection
80. NeurIPS 2024CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
81. NeurIPS 2024Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
82. NeurIPS 2024CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
83. NeurIPS 2024Coherent 3D Scene Diffusion From a Single RGB Image
84. NeurIPS 2024Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
85. NeurIPS 2024CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
86. NeurIPS 2024Compositional 3D-aware Video Generation with LLM Director
87. NeurIPS 2024Conditional Controllable Image Fusion
88. NeurIPS 2024Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
89. NeurIPS 2024Conditional Synthesis of 3D Molecules with Time Correction Sampler
90. NeurIPS 2024Conditioning non-linear and infinite-dimensional diffusion processes
91. NeurIPS 2024Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data
92. NeurIPS 2024Consistency Diffusion Bridge Models
93. NeurIPS 2024Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
94. NeurIPS 2024Constant Acceleration Flow
95. NeurIPS 2024Constrained Diffusion Models via Dual Training
96. NeurIPS 2024Constrained Diffusion with Trust Sampling
97. NeurIPS 2024Constrained Synthesis with Projected Diffusion Models
98. NeurIPS 2024Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
99. NeurIPS 2024COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
100. NeurIPS 2024COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing

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。