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 9 of 14

401. NeurIPS 2026NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
402. NeurIPS 2026ODDR: One-Step Deshadow Diffusion via Reward Guidance
403. NeurIPS 2026Offline Inverse Reinforcement Learning with Unified Diffusion Planning
404. NeurIPS 2026On Reparameterizing the Score Function
405. NeurIPS 2026On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization
406. NeurIPS 2026On the Limits of Latent Reuse in Diffusion Models
407. NeurIPS 2026On the Memorization of Consistency Distillation for Diffusion Models
408. NeurIPS 2026Opening the Black Box of Classifier-Free Guidance via Information Bottleneck
409. NeurIPS 2026OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
410. NeurIPS 2026Optimal Convergence Analysis of DDPM for General Distributions
411. NeurIPS 2026ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
412. NeurIPS 2026Order-Marginalized Scoring for Masked Diffusion Models
413. NeurIPS 2026Order-Optimal Sample Complexity for Distribution Learning via Flow Matching
414. NeurIPS 2026Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion
415. NeurIPS 2026Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
416. NeurIPS 2026Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
417. NeurIPS 2026PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
418. NeurIPS 2026Panoptic Scene Program Diffusion Transformer
419. NeurIPS 2026Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation
420. NeurIPS 2026ParaPC-FM: Accelerating Parallel Sampling via Principled Initialization
421. NeurIPS 2026Path-Guided Flow Matching for Dataset Distillation
422. NeurIPS 2026Path-independent Flow Matching for Multi-parameter Generative Dynamics
423. NeurIPS 2026Pathway-Aligned Regulator Tokens for Interpretable Spatial Gene Expression Prediction from Histologyatial Transcriptomics Prediction from Histology
424. NeurIPS 2026PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
425. NeurIPS 2026PEEK: One-Step Look-Ahead Exposure Bias Correction for Diffusion Sampling
426. NeurIPS 2026Per-Starting-Point Plausibility and Diversity Bounds for Score-Based Diffusion Models
427. NeurIPS 2026PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
428. NeurIPS 2026Permutation-Invariant Spectral Learning via Dyson Diffusion
429. NeurIPS 2026Physics-Conditioned Video Diffusion with Kinematic Priors for Fusion Capsule Polishing
430. NeurIPS 2026PhysRemover: A Unified Framework for Physically Realistic Object Removal
431. NeurIPS 2026PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
432. NeurIPS 2026PISCO: Precise Video Instance Insertion with Sparse Control
433. NeurIPS 2026PISG: Constraint-Aligned Signal Amplification for Diffusion-Based Combinatorial Optimization
434. NeurIPS 2026Plausible Biomolecular Structure Prediction via Physics-informed Reinforcement Learning
435. NeurIPS 2026Plug-and-Play ADMM for Inverse Problems with Flow Matching Denoiser
436. NeurIPS 2026Point Tracking Improves World Action Models
437. NeurIPS 2026Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering
438. NeurIPS 2026PosePlaner: Denoising Any Feedforward Pose Predictor from Pairwise Planar Geometry
439. NeurIPS 2026PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers
440. NeurIPS 2026PRECISE: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models
441. NeurIPS 2026Preconditioned Flow Matching
442. NeurIPS 2026Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints
443. NeurIPS 2026Primal-Dual Flow Matching for Sample-Wise Constrained Generation
444. NeurIPS 2026Principled Design of Diffusion-based Optimizers for Inverse Problems
445. NeurIPS 2026Prior as Geometry, Not Generator: Weak-Diffusion Test-Time Reconstruction for Dynamic MRI
446. NeurIPS 2026PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
447. NeurIPS 2026PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation
448. NeurIPS 2026Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures
449. NeurIPS 2026Probability-Conserving Flow Guidance
450. NeurIPS 2026ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

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.