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 8 / 42 页
- CVPR 2025OSDFace: One-Step Diffusion Model for Face Restoration
- CVPR 2025OSV: One Step is Enough for High-Quality Image to Video Generation
- CVPR 2025Paint by Inpaint: Learning to Add Image Objects by Removing Them First
- CVPR 2025Panorama Generation From NFoV Image Done Right
- CVPR 2025ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
- CVPR 2025PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models
- CVPR 2025PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction Model
- CVPR 2025PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
- CVPR 2025PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution
- CVPR 2025Pathways on the Image Manifold: Image Editing via Video Generation
- CVPR 2025Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy
- CVPR 2025PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models
- CVPR 2025PersonaBooth: Personalized Text-to-Motion Generation
- CVPR 2025Personalized Preference Fine-tuning of Diffusion Models
- CVPR 2025Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
- CVPR 2025PhysAnimator: Physics-Guided Generative Cartoon Animation
- CVPR 2025PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
- CVPR 2025PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
- CVPR 2025PICD: Versatile Perceptual Image Compression with Diffusion Rendering
- CVPR 2025Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
- CVPR 2025Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control
- CVPR 2025Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression
- CVPR 2025PoseTraj: Pose-Aware Trajectory Control in Video Diffusion
- CVPR 2025POSTA: A Go-to Framework for Customized Artistic Poster Generation
- CVPR 2025PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
- CVPR 2025Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
- CVPR 2025Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
- CVPR 2025Probability Density Geodesics in Image Diffusion Latent Space
- CVPR 2025Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
- CVPR 2025Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation
- CVPR 2025Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images
- CVPR 2025ProReflow: Progressive Reflow with Decomposed Velocity
- CVPR 2025PS-Diffusion: Photorealistic Subject-Driven Image Editing with Disentangled Control and Attention
- CVPR 2025PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing
- CVPR 2025PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
- CVPR 2025Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction
- CVPR 2025Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
- CVPR 2025RAD: Region-Aware Diffusion Models for Image Inpainting
- CVPR 2025Random Conditioning for Diffusion Model Compression with Distillation
- CVPR 2025Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
- CVPR 2025RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
- CVPR 2025RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories
- CVPR 2025Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model
- CVPR 2025Reanimating Images using Neural Representations of Dynamic Stimuli
- CVPR 2025ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
- CVPR 2025Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
- CVPR 2025Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning
- CVPR 2025Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
- CVPR 2025Rectified Diffusion Guidance for Conditional Generation
- CVPR 2025Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
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