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 87 of 138
- NeurIPS 2025Flexible MOF Generation with Torsion-Aware Flow Matching
- NeurIPS 2025FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction
- NeurIPS 2025FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
- NeurIPS 2025Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
- NeurIPS 2025Flow Matching Neural Processes
- NeurIPS 2025Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
- NeurIPS 2025Flow-Based Policy for Online Reinforcement Learning
- NeurIPS 2025Flow-GRPO: Training Flow Matching Models via Online RL
- NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
- NeurIPS 2025FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
- NeurIPS 2025FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
- NeurIPS 2025FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators
- NeurIPS 2025ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
- NeurIPS 2025Forecasting in Offline Reinforcement Learning for Non-stationary Environments
- NeurIPS 2025Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation
- NeurIPS 2025FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion
- NeurIPS 2025Fractional Diffusion Bridge Models
- NeurIPS 2025Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models
- NeurIPS 2025Frame In-N-Out: Unbounded Controllable Image-to-Video Generation
- NeurIPS 2025Free-Lunch Color-Texture Disentanglement for Stylized Image Generation
- NeurIPS 2025FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
- NeurIPS 2025FreeInv: Free Lunch for Improving DDIM Inversion
- NeurIPS 2025From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
- NeurIPS 2025From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
- NeurIPS 2025From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
- NeurIPS 2025FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
- NeurIPS 2025FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
- NeurIPS 2025Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
- NeurIPS 2025Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
- NeurIPS 2025GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
- NeurIPS 2025GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
- NeurIPS 2025GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
- NeurIPS 2025Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
- NeurIPS 2025Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
- NeurIPS 2025Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
- NeurIPS 2025Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
- NeurIPS 2025Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms
- NeurIPS 2025Generative Distribution Embeddings
- NeurIPS 2025Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
- NeurIPS 2025Generative Perception of Shape and Material from Differential Motion
- NeurIPS 2025Generative Pre-trained Autoregressive Diffusion Transformer
- NeurIPS 2025Generative Trajectory Stitching through Diffusion Composition
- NeurIPS 2025Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
- NeurIPS 2025GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning
- NeurIPS 2025GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters
- NeurIPS 2025GeoRemover: Removing Objects and Their Causal Visual Artifacts
- NeurIPS 2025GeoVideo: Introducing Geometric Regularization into Video Generation Model
- NeurIPS 2025GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
- NeurIPS 2025Go With the Flow: Fast Diffusion for Gaussian Mixture Models
- NeurIPS 2025GOATex: Geometry & Occlusion-Aware Texturing
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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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- Deep learning · foundation models 536
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