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 11 of 14

501. ICLR 2026RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
502. ICLR 2026ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation
503. ICLR 2026ReactID: Synchronizing Realistic Actions and Identity in Personalized Video Generation
504. ICLR 2026Real-Time Motion-Controllable Autoregressive Video Diffusion
505. ICLR 2026Realtime Video Frame Interpolation using One-Step Diffusion Sampling
506. ICLR 2026reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization
507. ICLR 2026Reconciling Visual Perception and Generation in Diffusion Models
508. ICLR 2026Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
509. ICLR 2026ReDDiT: Rehashing Noise for Discrete Visual Generation
510. ICLR 2026RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
511. ICLR 2026ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair
512. ICLR 2026ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
513. ICLR 2026RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
514. ICLR 2026Reinforcing Diffusion Models by Direct Group Preference Optimization
515. ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
516. ICLR 2026Representation Alignment for Diffusion Transformers without External Components
517. ICLR 2026Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis
518. ICLR 2026RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
519. ICLR 2026Revisiting Global Text Conditioning in Diffusion Transformers
520. ICLR 2026Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
521. ICLR 2026Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
522. ICLR 2026RFS: Reinforcement learning with Residual flow steering for dexterous manipulation
523. ICLR 2026RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion
524. ICLR 2026Riemannian Variational Flow Matching for Material and Protein Design
525. ICLR 2026RigidSSL: Rigidity-based Geometric Pretraining for Protein Generation
526. ICLR 2026RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal Generation
527. ICLR 2026RNE: plug-and-play diffusion inference-time control and energy-based training
528. ICLR 2026Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
529. ICLR 2026Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
530. ICLR 2026Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
531. ICLR 2026Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
532. ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
533. ICLR 2026S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
534. ICLR 2026SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
535. ICLR 2026SAFETY-GUIDED FLOW (SGF): A UNIFIED FRAMEWORK FOR NEGATIVE GUIDANCE IN SAFE GENERATION
536. ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
537. ICLR 2026Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models
538. ICLR 2026Sample-efficient evidence estimation of score based priors for model selection
539. ICLR 2026SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
540. ICLR 2026Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
541. ICLR 2026Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
542. ICLR 2026Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
543. ICLR 2026Scale-wise Distillation of Diffusion Models
544. ICLR 2026Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
545. ICLR 2026Scaling Bayesian Experimental Design to High-Dimensions with Information-Guided Diffusion
546. ICLR 2026Scaling Behavior of Discrete Diffusion Language Models
547. ICLR 2026Scaling Group Inference for Diverse and High-Quality Generation
548. ICLR 2026Scaling Laws for Diffusion Transformers
549. ICLR 2026Scaling Speech Tokenizers with Diffusion Autoencoders
550. ICLR 2026ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching

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.