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 2,078 篇,第 15 / 42 页
- ICLR 2025EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
- ICLR 2025EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation
- ICLR 2025EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
- ICLR 2025Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
- ICLR 2025Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
- ICLR 2025Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
- ICLR 2025EG4D: Explicit Generation of 4D Object without Score Distillation
- ICLR 2025EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
- ICLR 2025EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
- ICLR 2025Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
- ICLR 2025Elliptic Loss Regularization
- ICLR 2025Elucidating the Preconditioning in Consistency Distillation
- ICLR 2025End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
- ICLR 2025Energy-Based Diffusion Language Models for Text Generation
- ICLR 2025Energy-Weighted Flow Matching for Offline Reinforcement Learning
- ICLR 2025Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
- ICLR 2025Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
- ICLR 2025Ensembling Diffusion Models via Adaptive Feature Aggregation
- ICLR 2025Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
- ICLR 2025Erasing Concept Combination from Text-to-Image Diffusion Model
- ICLR 2025ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY
- ICLR 2025Exploring Local Memorization in Diffusion Models via Bright Ending Attention
- ICLR 2025FaceShot: Bring Any Character into Life
- ICLR 2025Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
- ICLR 2025Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
- ICLR 2025Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
- ICLR 2025Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
- ICLR 2025FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
- ICLR 2025Feedback Schrödinger Bridge Matching
- ICLR 2025Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation
- ICLR 2025FIG: Flow with Interpolant Guidance for Linear Inverse Problems
- ICLR 2025Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
- ICLR 2025Flow matching achieves almost minimax optimal convergence
- ICLR 2025Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
- ICLR 2025Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
- ICLR 2025FlowDec: A flow-based full-band general audio codec with high perceptual quality
- ICLR 2025Framer: Interactive Frame Interpolation
- ICLR 2025FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
- ICLR 2025Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
- ICLR 2025Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
- ICLR 2025FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise
- ICLR 2025GameGen-X: Interactive Open-world Game Video Generation
- ICLR 2025GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
- ICLR 2025GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation
- ICLR 2025GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
- ICLR 2025Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
- ICLR 2025Generalization through variance: how noise shapes inductive biases in diffusion models
- ICLR 2025Generalized Consistency Trajectory Models for Image Manipulation
- ICLR 2025Generating Graphs via Spectral Diffusion
- ICLR 2025Generating Physical Dynamics under Priors
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