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

694 papers, page 10 of 14

451. NeurIPS 2025PocketSR: The Super-Resolution Expert in Your Pocket Mobiles
452. NeurIPS 2025PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
453. NeurIPS 2025Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
454. NeurIPS 2025PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
455. NeurIPS 2025PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis
456. NeurIPS 2025Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
457. NeurIPS 2025Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
458. NeurIPS 2025Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
459. NeurIPS 2025Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems
460. NeurIPS 2025Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
461. NeurIPS 2025Preference Learning with Response Time: Robust Losses and Guarantees
462. NeurIPS 2025Preference-Guided Diffusion for Multi-Objective Offline Optimization
463. NeurIPS 2025Principled Long-Tailed Generative Modeling via Diffusion Models
464. NeurIPS 2025Prior-Guided Diffusion Planning for Offline Reinforcement Learning
465. NeurIPS 2025Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number
466. NeurIPS 2025Pro3D-Editor: A Progressive Framework for Consistent and Precise 3D Editing
467. NeurIPS 2025Probing Equivariance and Symmetry Breaking in Convolutional Networks
468. NeurIPS 2025Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
469. NeurIPS 2025Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion
470. NeurIPS 2025Promptable 3-D Object Localization with Latent Diffusion Models
471. NeurIPS 2025Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
472. NeurIPS 2025Quantifying Cross-Modality Memorization in Vision-Language Models
473. NeurIPS 2025Radial Attention: $\mathcal O(n \log n)$ Sparse Attention for Long Video Generation
474. NeurIPS 2025Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
475. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
476. NeurIPS 2025Rare Text Semantics Were Always There in Your Diffusion Transformer
477. NeurIPS 2025Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape
478. NeurIPS 2025Real-Time Execution of Action Chunking Flow Policies
479. NeurIPS 2025ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
480. NeurIPS 2025Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos
481. NeurIPS 2025Rectified CFG++ for Flow Based Models
482. NeurIPS 2025ReDi: Rectified Discrete Flow
483. NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
484. NeurIPS 2025ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
485. NeurIPS 2025Reinforced Context Order Recovery for Adaptive Reasoning and Planning
486. NeurIPS 2025Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation
487. NeurIPS 2025Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
488. NeurIPS 2025RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers
489. NeurIPS 2025Remasking Discrete Diffusion Models with Inference-Time Scaling
490. NeurIPS 2025Removing Concepts from Text-to-Image Models with Only Negative Samples
491. NeurIPS 2025REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training
492. NeurIPS 2025RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
493. NeurIPS 2025Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
494. NeurIPS 2025Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
495. NeurIPS 2025Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
496. NeurIPS 2025RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
497. NeurIPS 2025Rethinking Losses for Diffusion Bridge Samplers
498. NeurIPS 2025RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis
499. NeurIPS 2025Reverse Diffusion Sequential Monte Carlo Samplers
500. NeurIPS 2025Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws

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.