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

6,899 papers, page 117 of 138

5801. NeurIPS 2024CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
5802. NeurIPS 2024Coherent 3D Scene Diffusion From a Single RGB Image
5803. NeurIPS 2024Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control
5804. NeurIPS 2024CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
5805. NeurIPS 2024Compositional 3D-aware Video Generation with LLM Director
5806. NeurIPS 2024Conditional Controllable Image Fusion
5807. NeurIPS 2024Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
5808. NeurIPS 2024Conditional Synthesis of 3D Molecules with Time Correction Sampler
5809. NeurIPS 2024Conditioning non-linear and infinite-dimensional diffusion processes
5810. NeurIPS 2024Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data
5811. NeurIPS 2024Consistency Diffusion Bridge Models
5812. NeurIPS 2024Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
5813. NeurIPS 2024Constant Acceleration Flow
5814. NeurIPS 2024Constrained Diffusion Models via Dual Training
5815. NeurIPS 2024Constrained Diffusion with Trust Sampling
5816. NeurIPS 2024Constrained Synthesis with Projected Diffusion Models
5817. NeurIPS 2024Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
5818. NeurIPS 2024COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation
5819. NeurIPS 2024COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing
5820. NeurIPS 2024Cryptographic Hardness of Score Estimation
5821. NeurIPS 2024Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
5822. NeurIPS 2024D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
5823. NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
5824. NeurIPS 2024DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans
5825. NeurIPS 2024DeBaRA: Denoising-Based 3D Room Arrangement Generation
5826. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
5827. NeurIPS 2024Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
5828. NeurIPS 2024DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
5829. NeurIPS 2024DenoiseRep: Denoising Model for Representation Learning
5830. NeurIPS 2024Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
5831. NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
5832. NeurIPS 2024DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
5833. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
5834. NeurIPS 2024DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
5835. NeurIPS 2024Differentially Private Graph Diffusion with Applications in Personalized PageRanks
5836. NeurIPS 2024DiffGS: Functional Gaussian Splatting Diffusion
5837. NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
5838. NeurIPS 2024DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
5839. NeurIPS 2024DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
5840. NeurIPS 2024DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
5841. NeurIPS 2024DiffPO: A causal diffusion model for learning distributions of potential outcomes
5842. NeurIPS 2024DiffSF: Diffusion Models for Scene Flow Estimation
5843. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
5844. NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
5845. NeurIPS 2024DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model
5846. NeurIPS 2024DiffuserLite: Towards Real-time Diffusion Planning
5847. NeurIPS 2024Diffusing Differentiable Representations
5848. NeurIPS 2024Diffusion Actor-Critic with Entropy Regulator
5849. NeurIPS 2024Diffusion for World Modeling: Visual Details Matter in Atari
5850. NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

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.