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

2,690 papers, page 53 of 54

2601. NeurIPS 2026Temporal Concentration from Rollout Errors: Implicit Preference Optimization For Text-to-Video Diffusion
2602. NeurIPS 2026Temporal Pair Consistency for Flow Matching
2603. NeurIPS 2026Temporal Selective Exploration for Reinforcement Learning-Guided Continuous-Discrete Flow Matching in 3D Molecular Design
2604. NeurIPS 2026TESLA: Native 4D Gaussian Splatting Generation with Temporally Structured Latents
2605. NeurIPS 2026Tessellations of Semi-Discrete Flow Matching
2606. NeurIPS 2026Test-Time Conditioning with Representation-Aligned Visual Features
2607. NeurIPS 2026Test-time Scaling of Diffusions with Flow Maps
2608. NeurIPS 2026Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching
2609. NeurIPS 2026Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson
2610. NeurIPS 2026Tethered Predictive-Inertial Proposals with Objective Verification for Diffusion-Prior Inverse Problems
2611. NeurIPS 2026The balance between feature learning and collapse in generative dynamical systems
2612. NeurIPS 2026The Block Catastrophe of Marginal Calibration in Certified Requirements Traceability
2613. NeurIPS 2026The Design Space of Tri-Modal Masked Diffusion Models
2614. NeurIPS 2026The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models
2615. NeurIPS 2026The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show
2616. NeurIPS 2026The Quiet Prompt: Erasing Ineffable Styles from Diffusion Models via Concept Leakage-aware Negative Guidance
2617. NeurIPS 2026The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL.
2618. NeurIPS 2026The Score Kalman Filter
2619. NeurIPS 2026TIDE: Trajectory-Aware Watermark Propagation for Text-to-Image Diffusion Models
2620. NeurIPS 2026Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration
2621. NeurIPS 2026TokenRepel: Generating Diverse Image Sets Without Sacrificing Quality
2622. NeurIPS 2026ToLD: Efficient Time Series Forecasting via Tokenized Truncated Latent Diffusion
2623. NeurIPS 2026Too Aligned to be Real: Detecting AI-Generated Images via Cross-modal Alignment Shift
2624. NeurIPS 2026Tools as Continuous Flow for Evolving Agentic Reasoning
2625. NeurIPS 2026TORNADO: Adaptive Latent Stochastic Transport for Calibrated Probabilistic PDE Forecasting
2626. NeurIPS 2026Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion
2627. NeurIPS 2026Towards more general control of diffusion models using Jeffrey Guidance
2628. NeurIPS 2026TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
2629. NeurIPS 2026Track4D: Representing Dense 3D Tracking for Video Diffusion Models
2630. NeurIPS 2026Train-free Data Poisoning Attack against Retrieval-augmented Diffusion Models
2631. NeurIPS 2026Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
2632. NeurIPS 2026Training Optimal Large Diffusion Language Models
2633. NeurIPS 2026Training-Free Generative Sampling via Moment-Matched Score Smoothing
2634. NeurIPS 2026Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
2635. NeurIPS 2026Trajectory-Consistent Diffusion Policies for Offline Reinforcement Learning
2636. NeurIPS 2026Transforming Image Editors into Video Editors
2637. NeurIPS 2026Transporting Quantiles to Codebook: Scalable Vector Quantization without Codebook Collapse
2638. NeurIPS 2026Tree-Sliced Orlicz Integral Probability Metric
2639. NeurIPS 2026Tri-Prompting: Controllable Video Generation with Scene, Subject, and Motion Prompts
2640. NeurIPS 2026Trivialized Generative Models on Lie Groups
2641. NeurIPS 2026Trustworthy and Efficient Map-free LiDAR Localization via Scan-Pose Alignment and Flow Matching
2642. NeurIPS 2026TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models
2643. NeurIPS 2026Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems
2644. NeurIPS 2026Two-Sided Learning in Matching Markets with Interviews
2645. NeurIPS 2026Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting
2646. NeurIPS 2026Ultra Flash: Scaling Real-Time Streaming Video Generation to High Resolutions
2647. NeurIPS 2026Unaligned Image Guided Denoising via Cross-modal Conditional Flow Matching
2648. NeurIPS 2026Uncertainty Quantification for Large Language Diffusion Models
2649. NeurIPS 2026Understanding diffusion models requires rethinking (again) generalization
2650. NeurIPS 2026UniCustom: Unified Visual Conditioning for Multi-reference Image Generation

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.