Diffusion Models papers, 2023–2026
Diffusion, flow matching, and score-based generative modeling
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 6,900 papers are tagged with this topic.
Key findings
- Diffusion Models went from 660 papers in 2023 to 2,691 in 2026, roughly 4.1x in three years.
- NeurIPS publishes the most Diffusion Models work: 2,202 papers from 2023 to 2026, 32% of the four-venue total.
- The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 14 in 2023 to 163 in 2026.
- Among the 11 topics under Deep Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, Deep learning · foundation models, is up 2.5x versus 4.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 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 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Diffusion Models papers
6,899 papers, page 122 of 138
- NeurIPS 2024MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence
- NeurIPS 2024Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
- NeurIPS 2024MotionBooth: Motion-Aware Customized Text-to-Video Generation
- NeurIPS 2024MotionCraft: Physics-Based Zero-Shot Video Generation
- NeurIPS 2024Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images
- NeurIPS 2024Multistable Shape from Shading Emerges from Patch Diffusion
- NeurIPS 2024Multistep Distillation of Diffusion Models via Moment Matching
- NeurIPS 2024MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
- NeurIPS 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views
- NeurIPS 2024NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing
- NeurIPS 2024Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
- NeurIPS 2024Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
- NeurIPS 2024Neural Gaffer: Relighting Any Object via Diffusion
- NeurIPS 2024Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
- NeurIPS 2024Neural Residual Diffusion Models for Deep Scalable Vision Generation
- NeurIPS 2024NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
- NeurIPS 2024No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
- NeurIPS 2024Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
- NeurIPS 2024Novel Object Synthesis via Adaptive Text-Image Harmony
- NeurIPS 2024OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
- NeurIPS 2024OccFusion: Rendering Occluded Humans with Generative Diffusion Priors
- NeurIPS 2024ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
- NeurIPS 2024OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation
- NeurIPS 2024On conditional diffusion models for PDE simulations
- NeurIPS 2024On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
- NeurIPS 2024On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection
- NeurIPS 2024On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)
- NeurIPS 2024On the Scalability of Certified Adversarial Robustness with Generated Data
- NeurIPS 2024One-Step Diffusion Distillation through Score Implicit Matching
- NeurIPS 2024One-Step Effective Diffusion Network for Real-World Image Super-Resolution
- NeurIPS 2024One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection
- NeurIPS 2024OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance
- NeurIPS 2024Online Posterior Sampling with a Diffusion Prior
- NeurIPS 2024OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images
- NeurIPS 2024Optical Diffusion Models for Image Generation
- NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
- NeurIPS 2024Optimization Can Learn Johnson Lindenstrauss Embeddings
- NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
- NeurIPS 2024PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
- NeurIPS 2024ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
- NeurIPS 2024Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
- NeurIPS 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
- NeurIPS 2024Persistent Homology for High-dimensional Data Based on Spectral Methods
- NeurIPS 2024Phased Consistency Models
- NeurIPS 2024PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging
- NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
- NeurIPS 2024Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
- NeurIPS 2024Precipitation Downscaling with Spatiotemporal Video Diffusion
- NeurIPS 2024Prediction with Action: Visual Policy Learning via Joint Denoising Process
- NeurIPS 2024Preference Alignment with Flow Matching
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FAQ
- How many Diffusion Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 6,900 in total: 660 in 2023, 1,471 in 2024, 2,078 in 2025, 2,691 in 2026.
- How many Diffusion Models papers are at NeurIPS 2026?
- NeurIPS 2026 has 661 Diffusion Models papers, versus 694 the year before.
- How many Diffusion Models papers are at ICLR 2026?
- ICLR 2026 has 694 Diffusion Models papers, versus 487 the year before.
- How many Diffusion Models papers are at ICML 2026?
- ICML 2026 has 728 Diffusion Models papers, versus 346 the year before.
- How many Diffusion Models papers are at CVPR 2026?
- CVPR 2026 has 608 Diffusion Models papers, versus 551 the year before.
- Which conference publishes the most Diffusion Models papers?
- NeurIPS, with 2,202 papers from 2023 to 2026.
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