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
327 papers, page 1 of 7
- NeurIPS 20233D molecule generation by denoising voxel grids
- NeurIPS 2023A Diffusion-Model of Joint Interactive Navigation
- NeurIPS 2023A generative model of the hippocampal formation trained with theta driven local learning rules
- NeurIPS 2023A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
- NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
- NeurIPS 2023A Unified Conditional Framework for Diffusion-based Image Restoration
- NeurIPS 2023A Unified Framework for U-Net Design and Analysis
- NeurIPS 2023AbDiffuser: full-atom generation of in-vitro functioning antibodies
- NeurIPS 2023Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
- NeurIPS 2023Adaptive Online Replanning with Diffusion Models
- NeurIPS 2023Add and Thin: Diffusion for Temporal Point Processes
- NeurIPS 2023Addressing Negative Transfer in Diffusion Models
- NeurIPS 2023Adversarial Examples Are Not Real Features
- NeurIPS 2023Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- NeurIPS 2023Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
- NeurIPS 2023Ambient Diffusion: Learning Clean Distributions from Corrupted Data
- NeurIPS 2023Any-to-Any Generation via Composable Diffusion
- NeurIPS 2023AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
- NeurIPS 2023Are Diffusion Models Vision-And-Language Reasoners?
- NeurIPS 2023ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
- NeurIPS 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
- NeurIPS 2023AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
- NeurIPS 2023Autodecoding Latent 3D Diffusion Models
- NeurIPS 2023BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
- NeurIPS 2023Beta Diffusion
- NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
- NeurIPS 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
- NeurIPS 2023Block-State Transformers
- NeurIPS 2023Boundary Guided Learning-Free Semantic Control with Diffusion Models
- NeurIPS 2023Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
- NeurIPS 2023Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
- NeurIPS 2023Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
- NeurIPS 2023Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
- NeurIPS 2023Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation
- NeurIPS 2023COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
- NeurIPS 2023Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
- NeurIPS 2023Collaborative Score Distillation for Consistent Visual Editing
- NeurIPS 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
- NeurIPS 2023Complexity Matters: Rethinking the Latent Space for Generative Modeling
- NeurIPS 2023Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
- NeurIPS 2023Compositional Foundation Models for Hierarchical Planning
- NeurIPS 2023Compositional Sculpting of Iterative Generative Processes
- NeurIPS 2023Concept Algebra for (Score-Based) Text-Controlled Generative Models
- NeurIPS 2023Conditional Matrix Flows for Gaussian Graphical Models
- NeurIPS 2023Conditional Score Guidance for Text-Driven Image-to-Image Translation
- NeurIPS 2023Conditional score-based diffusion models for Bayesian inference in infinite dimensions
- NeurIPS 2023Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
- NeurIPS 2023ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
- NeurIPS 2023Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
- NeurIPS 2023Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
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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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