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 136 of 138

6751. NeurIPS 2023Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
6752. NeurIPS 2023Learning Mixtures of Gaussians Using the DDPM Objective
6753. NeurIPS 2023Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
6754. NeurIPS 2023Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis
6755. NeurIPS 2023Likelihood-Based Diffusion Language Models
6756. NeurIPS 2023Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
6757. NeurIPS 2023LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
6758. NeurIPS 2023Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
6759. NeurIPS 2023Lossy Image Compression with Conditional Diffusion Models
6760. NeurIPS 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
6761. NeurIPS 2023Markovian Sliced Wasserstein Distances: Beyond Independent Projections
6762. NeurIPS 2023Metropolis Sampling for Constrained Diffusion Models
6763. NeurIPS 2023Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
6764. NeurIPS 2023Mirror Diffusion Models for Constrained and Watermarked Generation
6765. NeurIPS 2023Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
6766. NeurIPS 2023Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
6767. NeurIPS 2023Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
6768. NeurIPS 2023Moment Matching Denoising Gibbs Sampling
6769. NeurIPS 2023MomentDiff: Generative Video Moment Retrieval from Random to Real
6770. NeurIPS 2023Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture
6771. NeurIPS 2023Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion
6772. NeurIPS 2023Multi-scale Diffusion Denoised Smoothing
6773. NeurIPS 2023MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
6774. NeurIPS 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
6775. NeurIPS 2023NAP: Neural 3D Articulated Object Prior
6776. NeurIPS 2023Neural Sampling in Hierarchical Exponential-family Energy-based Models
6777. NeurIPS 2023Norm-guided latent space exploration for text-to-image generation
6778. NeurIPS 2023Normalizing flow neural networks by JKO scheme
6779. NeurIPS 2023OBJECT 3DIT: Language-guided 3D-aware Image Editing
6780. NeurIPS 2023Object-Centric Slot Diffusion
6781. NeurIPS 2023On Calibrating Diffusion Probabilistic Models
6782. NeurIPS 2023On Measuring Fairness in Generative Models
6783. NeurIPS 2023On the Constrained Time-Series Generation Problem
6784. NeurIPS 2023On the Generalization Properties of Diffusion Models
6785. NeurIPS 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
6786. NeurIPS 2023One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
6787. NeurIPS 2023One-Step Diffusion Distillation via Deep Equilibrium Models
6788. NeurIPS 2023Optimal Preconditioning and Fisher Adaptive Langevin Sampling
6789. NeurIPS 2023Optimal Transport-Guided Conditional Score-Based Diffusion Model
6790. NeurIPS 2023P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
6791. NeurIPS 2023PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
6792. NeurIPS 2023Parallel Sampling of Diffusion Models
6793. NeurIPS 2023Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
6794. NeurIPS 2023Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
6795. NeurIPS 2023PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
6796. NeurIPS 2023PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
6797. NeurIPS 2023Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
6798. NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
6799. NeurIPS 2023PHOTOSWAP: Personalized Subject Swapping in Images
6800. NeurIPS 2023PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model

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.