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 118 of 138

5851. NeurIPS 2024Diffusion Imitation from Observation
5852. NeurIPS 2024Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
5853. NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
5854. NeurIPS 2024Diffusion Models With Learned Adaptive Noise
5855. NeurIPS 2024Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
5856. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
5857. NeurIPS 2024Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning
5858. NeurIPS 2024Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
5859. NeurIPS 2024Diffusion Priors for Variational Likelihood Estimation and Image Denoising
5860. NeurIPS 2024Diffusion Spectral Representation for Reinforcement Learning
5861. NeurIPS 2024Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
5862. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
5863. NeurIPS 2024Diffusion-based Curriculum Reinforcement Learning
5864. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
5865. NeurIPS 2024Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
5866. NeurIPS 2024Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
5867. NeurIPS 2024Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
5868. NeurIPS 2024Diffusion-Reward Adversarial Imitation Learning
5869. NeurIPS 2024Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models
5870. NeurIPS 2024DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction
5871. NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
5872. NeurIPS 2024DiffusionPDE: Generative PDE-Solving under Partial Observation
5873. NeurIPS 2024DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
5874. NeurIPS 2024DINTR: Tracking via Diffusion-based Interpolation
5875. NeurIPS 2024DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
5876. NeurIPS 2024Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
5877. NeurIPS 2024Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
5878. NeurIPS 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
5879. NeurIPS 2024Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text
5880. NeurIPS 2024Discrete Flow Matching
5881. NeurIPS 2024Discrete Modeling via Boundary Conditional Diffusion Processes
5882. NeurIPS 2024Discrete-state Continuous-time Diffusion for Graph Generation
5883. NeurIPS 2024Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection
5884. NeurIPS 2024Distribution-Aware Data Expansion with Diffusion Models
5885. NeurIPS 2024Distributional Successor Features Enable Zero-Shot Policy Optimization
5886. NeurIPS 2024DiTFastAttn: Attention Compression for Diffusion Transformer Models
5887. NeurIPS 2024Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors
5888. NeurIPS 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
5889. NeurIPS 2024DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
5890. NeurIPS 2024DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
5891. NeurIPS 2024DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
5892. NeurIPS 2024DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
5893. NeurIPS 2024DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting
5894. NeurIPS 2024Dual-Diffusion for Binocular 3D Human Pose Estimation
5895. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
5896. NeurIPS 2024e-COP : Episodic Constrained Optimization of Policies
5897. NeurIPS 2024E-Motion: Future Motion Simulation via Event Sequence Diffusion
5898. NeurIPS 2024EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
5899. NeurIPS 2024EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
5900. NeurIPS 2024EM Distillation for One-step Diffusion Models

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.