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 11 of 15

501. ICML 2026Reconstructing Template-Memorized Images from Natural Prompts
502. ICML 2026RECOVER: Reliable Detection of Unauthorized Data Usage in Text-to-Image Diffusion Models via Inversion Robustness
503. ICML 2026Recovering Hidden Reward in Diffusion-Based Policies
504. ICML 2026Reflex: Real-Time Vision-Language-Action Control through Streaming Inference
505. ICML 2026ReGen: Hierarchical Multi-Prompt Representation Generation for Efficient Waveform Diffusion Models
506. ICML 2026Reinforced Sequential Monte Carlo for Amortised Sampling
507. ICML 2026Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces
508. ICML 2026Relighting as a Probe of Visual Priors via Augmented Latent Intrinsics
509. ICML 2026Rényi Diffusion Models
510. ICML 2026RePack then Refine: Efficient Diffusion Transformers with Vision Foundation Models
511. ICML 2026Residual Context Diffusion Language Models
512. ICML 2026Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling
513. ICML 2026Responsible Text-to-Image Diffusion: Interpretable and Linearly Controllable Semantics for Fair and Safe Generation
514. ICML 2026REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
515. ICML 2026Restoring Initial Noise Sensitivity in Text-to-Image Distillation through Geometric Alignment
516. ICML 2026Rethinking 3D Shape Generation: Diffusion over Superquadrics
517. ICML 2026Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective
518. ICML 2026Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
519. ICML 2026Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance
520. ICML 2026Rethinking Visual Intelligence: Insights from Video Pretraining
521. ICML 2026RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition
522. ICML 2026Reverse Flow Matching: A Unified Framework for Online Reinforcement Learning with Diffusion and Flow Policies
523. ICML 2026Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
524. ICML 2026Revisiting Spectral Representations in Generative Diffusion Models
525. ICML 2026Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
526. ICML 2026RiboSphere: Learning Unified and Efficient Representations of RNA Structures
527. ICML 2026Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural Networks
528. ICML 2026Riemannian MeanFlow for One-Step Generation on Manifolds
529. ICML 2026Riemannian Metric Matching for Scalable Geometric Modeling of Distributions
530. ICML 2026RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction
531. ICML 2026RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
532. ICML 2026Robust Parallel Diffusion Sampling via Dynamic Jacobian Bandwidth
533. ICML 2026RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers
534. ICML 2026RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models
535. ICML 2026SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
536. ICML 2026SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
537. ICML 2026SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
538. ICML 2026SAM Audio: Segment Anything in Audio
539. ICML 2026Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation
540. ICML 2026Sample-Efficient Diffusion-based Reinforcement Learning with Critic Guidance
541. ICML 2026SAMT: Generating Structured Avatar Meshes and Textures from a Single Image
542. ICML 2026Saving Foundation Flow-Matching Priors for Inverse Problems
543. ICML 2026Scalable Simulation-Based Model Inference with Test-Time Complexity Control
544. ICML 2026Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models
545. ICML 2026SCalDA: Semantics-Calibrated and Diffusion-Enhanced Data Augmentation
546. ICML 2026Scaling Beyond Masked Diffusion Language Models
547. ICML 2026Scaling Multi-Agent Environment Co-Design with Diffusion Models
548. ICML 2026Scaling the Prior: Size-Consistent Geometric Diffusion for 3D Molecular Generation
549. ICML 2026scCBGM: Single-Cell Editing via Concept Bottlenecks
550. ICML 2026scChord: A Probabilistic Manifold Rectification Framework for RNA-to-Protein Translation

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.