Diffusion Models papers, 2023–2026

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.

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

728 papers, page 10 of 15

451. ICML 2026Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
452. ICML 2026Orthogonal Concept Erasure for Diffusion Models
453. ICML 2026Overclocking Electrostatic Generative Models
454. ICML 2026PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation
455. ICML 2026PADS-TAL: Padding-Annealed Diffusion Sampling in Text-Aware Latent Space for Robust and Diverse Text-to-Music Generation
456. ICML 2026Parameter Manifold Purification
457. ICML 2026Parametrized Power-Iteration Clustering for Directed Graphs
458. ICML 2026Particle-Guided Diffusion Models for Partial Differential Equations
459. ICML 2026PASO: Step Parallel Stochastic Optimization
460. ICML 2026Path-Coupled Bellman Flows for Distributional Reinforcement Learning
461. ICML 2026Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation
462. ICML 2026Personalized Image Generation via Human-in-the-loop Bayesian Optimization
463. ICML 2026PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling
464. ICML 2026PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection
465. ICML 2026PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World
466. ICML 2026Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
467. ICML 2026Physics-Guided Motion Loss for Video Generation Model
468. ICML 2026Physics-Informed Diffusion Models in Spectral Space
469. ICML 2026Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
470. ICML 2026Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models
471. ICML 2026Plan, Decouple, Assimilate: Physics-Aware Object Insertion in Remote Sensing Imagery
472. ICML 2026Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction
473. ICML 2026Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction
474. ICML 2026Plug-and-Play Label Map Diffusion for Universal Goal-Oriented Navigation
475. ICML 2026PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
476. ICML 2026PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
477. ICML 2026PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free Update
478. ICML 2026PortraitRL: Reinforcement Learning for Personalized Portrait Pose Transfer with Multi-Objective Reward Modeling
479. ICML 2026Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning
480. ICML 2026Principled Confidence Estimation for Deep Computed Tomography
481. ICML 2026Principled RL for Flow Matching Emerges from the Chunk-level Policy Optimization
482. ICML 2026Probing the Geometry of Diffusion Models with the String Method
483. ICML 2026Prompt Reinjection: Alleviating Prompt Forgetting in Multimodal Diffusion Transformers
484. ICML 2026PromptRL: Prompt Matters in RL for Flow-Based Image Generation
485. ICML 2026ProtoVAR: Efficient Dataset Distillation via Prototype-Guided Visual Autoregressive Modeling
486. ICML 2026Proximal-Based Generative Modeling for Bayesian Inverse Problems
487. ICML 2026PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation
488. ICML 2026Q-DiT4SR: Exploration of Detail-Preserving Diffusion Transformer Quantization for Real-World Image Super-Resolution
489. ICML 2026Q-Flow: Stable and Expressive Reinforcement Learning with Flow-based Policy
490. ICML 2026Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
491. ICML 2026Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
492. ICML 2026Quantifying Error Propagation and Model Collapse in Diffusion Models
493. ICML 2026RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation
494. ICML 2026RAIGen: Rare Attribute Identification in Text-to-Image Generative Models
495. ICML 2026Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
496. ICML 2026Rank-guided Diffusion for Noise Few-Shot Learning
497. ICML 2026Rays as Pixels: Learning A Joint Distribution of Video and Camera Trajectories
498. ICML 2026Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
499. ICML 2026Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models
500. ICML 2026Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning

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.