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

2,078 papers, page 29 of 42

1401. NeurIPS 2025Accelerating Parallel Diffusion Model Serving with Residual Compression
1402. NeurIPS 2025AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
1403. NeurIPS 2025Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
1404. NeurIPS 2025Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
1405. NeurIPS 2025Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
1406. NeurIPS 2025Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
1407. NeurIPS 2025Adaptive Discretization for Consistency Models
1408. NeurIPS 2025Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
1409. NeurIPS 2025Adaptive Inference-Time Scaling via Cyclic Diffusion Search
1410. NeurIPS 2025Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
1411. NeurIPS 2025ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
1412. NeurIPS 2025Adjoint Schrödinger Bridge Sampler
1413. NeurIPS 2025Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models
1414. NeurIPS 2025Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization
1415. NeurIPS 2025Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
1416. NeurIPS 2025Adversarial Diffusion for Robust Reinforcement Learning
1417. NeurIPS 2025Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
1418. NeurIPS 2025Align Your Flow: Scaling Continuous-Time Flow Map Distillation
1419. NeurIPS 2025Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
1420. NeurIPS 2025AlignedGen: Aligning Style Across Generated Images
1421. NeurIPS 2025Aligning Compound AI Systems via System-level DPO
1422. NeurIPS 2025Aligning Text to Image in Diffusion Models is Easier Than You Think
1423. NeurIPS 2025Aligning Text-to-Image Diffusion Models to Human Preference by Classification
1424. NeurIPS 2025Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
1425. NeurIPS 2025ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
1426. NeurIPS 2025Ambient Diffusion Omni: Training Good Models with Bad Data
1427. NeurIPS 2025Ambient Proteins - Training Diffusion Models on Noisy Structures
1428. NeurIPS 2025An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
1429. NeurIPS 2025Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
1430. NeurIPS 2025Anchored Diffusion Language Model
1431. NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
1432. NeurIPS 2025AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation
1433. NeurIPS 2025Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
1434. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
1435. NeurIPS 2025ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
1436. NeurIPS 2025Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
1437. NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
1438. NeurIPS 2025Attention with Trained Embeddings Provably Selects Important Tokens
1439. NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
1440. NeurIPS 2025AutoEdit: Automatic Hyperparameter Tuning for Image Editing
1441. NeurIPS 2025Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
1442. NeurIPS 2025Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
1443. NeurIPS 2025BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
1444. NeurIPS 2025BADiff: Bandwidth Adaptive Diffusion Model
1445. NeurIPS 2025Balanced Conic Rectified Flow
1446. NeurIPS 2025Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
1447. NeurIPS 2025Beyond Scores: Proximal Diffusion Models
1448. NeurIPS 2025Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
1449. NeurIPS 2025Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation
1450. NeurIPS 2025BlurDM: A Blur Diffusion Model for Image Deblurring

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.