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

661 papers, page 12 of 14

551. NeurIPS 2026SteerVTE: Seamless Video Text Editing with Style and Glyph Control
552. NeurIPS 2026Stein Transport for Generative Modeling
553. NeurIPS 2026Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference
554. NeurIPS 2026Sticky Jump Diffusions: A Unifying Framework for Discrete, Continuous, and Hybrid Diffusion
555. NeurIPS 2026Stitched Value Model for Diffusion Alignment
556. NeurIPS 2026StitchEdit: Stitching Depth Priors into Image Editors via Per-Layer Gradient Probing
557. NeurIPS 2026Stochastic Heat Diffusion Models
558. NeurIPS 2026Stochastic Interpolants via Conditional Dependent Coupling
559. NeurIPS 2026Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis
560. NeurIPS 2026Structured Coupling for Flow Matching
561. NeurIPS 2026Structured Masked Diffusion for Joint Multiuser Decoding
562. NeurIPS 2026StyleRoute: Diffusion Style Transfer via Regional Routing and Conflict-aware Projection
563. NeurIPS 2026Support Before Frequency in Discrete Diffusion
564. NeurIPS 2026Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models
565. NeurIPS 2026TailDiff: Elicitable Tail-Guided Diffusion for Risk-Sensitive Generation
566. NeurIPS 2026Taming Generative Co-Folding Prior for Molecular Docking with Diffusion Bridge
567. NeurIPS 2026Targeted Review for AI-Assisted Biodiversity Surveys: Active Continuous-Score Occupancy Modeling
568. NeurIPS 2026TaxaAdapter: Scaling Fine-grained Species Image Generation To the Tree of Life
569. NeurIPS 2026Temperature-Regulated Stochastic Sampling for Diffusion-Based High-Quality Molecular Generation
570. NeurIPS 2026Tempered Guided Diffusion
571. NeurIPS 2026Temporal Alignment Guidance: On-manifold Sampling in Diffusion Models
572. NeurIPS 2026Temporal Concentration from Rollout Errors: Implicit Preference Optimization For Text-to-Video Diffusion
573. NeurIPS 2026Temporal Pair Consistency for Flow Matching
574. NeurIPS 2026Temporal Selective Exploration for Reinforcement Learning-Guided Continuous-Discrete Flow Matching in 3D Molecular Design
575. NeurIPS 2026TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents
576. NeurIPS 2026Tessellations of Semi-Discrete Flow Matching
577. NeurIPS 2026Test-Time Conditioning with Representation-Aligned Visual Features
578. NeurIPS 2026Test-time Scaling of Diffusions with Flow Maps
579. NeurIPS 2026Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching
580. NeurIPS 2026Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson
581. NeurIPS 2026Tethered Predictive-Inertial Proposals with Objective Verification for Diffusion-Prior Inverse Problems
582. NeurIPS 2026The balance between feature learning and collapse in generative dynamical systems
583. NeurIPS 2026The Block Catastrophe of Marginal Calibration in Certified Requirements Traceability
584. NeurIPS 2026The Design Space of Tri-Modal Masked Diffusion Models
585. NeurIPS 2026The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models
586. NeurIPS 2026The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show
587. NeurIPS 2026The Quiet Prompt: Erasing Ineffable Styles from Diffusion Models via Concept Leakage-aware Negative Guidance
588. NeurIPS 2026The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL.
589. NeurIPS 2026The Score Kalman Filter
590. NeurIPS 2026TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models
591. NeurIPS 2026Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration
592. NeurIPS 2026TokenRepel: Generating Diverse Image Sets Without Sacrificing Quality
593. NeurIPS 2026ToLD: Efficient Time Series Forecasting via Tokenized Truncated Latent Diffusion
594. NeurIPS 2026Too Aligned to be Real: Detecting AI-Generated Images via Cross-modal Alignment Shift
595. NeurIPS 2026Tools as Continuous Flow for Evolving Agentic Reasoning
596. NeurIPS 2026TORNADO: Adaptive Latent Stochastic Transport for Calibrated Probabilistic PDE Forecasting
597. NeurIPS 2026Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion
598. NeurIPS 2026Towards more general control of diffusion models using Jeffrey Guidance
599. NeurIPS 2026TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
600. NeurIPS 2026Track4D: Representing Dense 3D Tracking for Video Diffusion Models

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.