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 110 of 138
- ICLR 2024OmniControl: Control Any Joint at Any Time for Human Motion Generation
- ICLR 2024On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
- ICLR 2024On Diffusion Modeling for Anomaly Detection
- ICLR 2024On Error Propagation of Diffusion Models
- ICLR 2024On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models
- ICLR 2024On the Stability of Iterative Retraining of Generative Models on their own Data
- ICLR 2024PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
- ICLR 2024Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
- ICLR 2024Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
- ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
- ICLR 2024PhyloGFN: Phylogenetic inference with generative flow networks
- ICLR 2024PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
- ICLR 2024PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
- ICLR 2024Probabilistic Adaptation of Black-Box Text-to-Video Models
- ICLR 2024Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
- ICLR 2024Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
- ICLR 2024R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
- ICLR 2024Reasoning with Latent Diffusion in Offline Reinforcement Learning
- ICLR 2024Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
- ICLR 2024Reverse Diffusion Monte Carlo
- ICLR 2024Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- ICLR 2024Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
- ICLR 2024SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
- ICLR 2024Scalable Diffusion for Materials Generation
- ICLR 2024Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
- ICLR 2024ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
- ICLR 2024Score Regularized Policy Optimization through Diffusion Behavior
- ICLR 2024Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
- ICLR 2024SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
- ICLR 2024SE(3)-Stochastic Flow Matching for Protein Backbone Generation
- ICLR 2024Seer: Language Instructed Video Prediction with Latent Diffusion Models
- ICLR 2024SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
- ICLR 2024Self-Consuming Generative Models Go MAD
- ICLR 2024Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
- ICLR 2024Simple Hierarchical Planning with Diffusion
- ICLR 2024Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
- ICLR 2024Single Motion Diffusion
- ICLR 2024SLiMe: Segment Like Me
- ICLR 2024Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
- ICLR 2024Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
- ICLR 2024Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
- ICLR 2024Space Group Constrained Crystal Generation
- ICLR 2024Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
- ICLR 2024sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
- ICLR 2024Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
- ICLR 2024SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D
- ICLR 2024Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
- ICLR 2024SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
- ICLR 2024TapMo: Shape-aware Motion Generation of Skeleton-free Characters
- ICLR 2024Text-to-3D with Classifier Score Distillation
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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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