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 39 of 42

1901. NeurIPS 2025Safe and Stable Control via Lyapunov-Guided Diffusion Models
1902. NeurIPS 2025Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation
1903. NeurIPS 2025Sampling 3D Molecular Conformers with Diffusion Transformers
1904. NeurIPS 2025Sampling by averaging: A multiscale approach to score estimation
1905. NeurIPS 2025Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion
1906. NeurIPS 2025SAS: Simulated Attention Score
1907. NeurIPS 2025Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
1908. NeurIPS 2025Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
1909. NeurIPS 2025ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
1910. NeurIPS 2025Scaling Diffusion Transformers Efficiently via $\mu$P
1911. NeurIPS 2025Scaling Up Parameter Generation: A Recurrent Diffusion Approach
1912. NeurIPS 2025Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
1913. NeurIPS 2025Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
1914. NeurIPS 2025Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery
1915. NeurIPS 2025SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
1916. NeurIPS 2025Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
1917. NeurIPS 2025SD-KDE: Score-Debiased Kernel Density Estimation
1918. NeurIPS 2025Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
1919. NeurIPS 2025Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control
1920. NeurIPS 2025Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers
1921. NeurIPS 2025Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
1922. NeurIPS 2025Self-diffusion for Solving Inverse Problems
1923. NeurIPS 2025Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
1924. NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
1925. NeurIPS 2025Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology
1926. NeurIPS 2025Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
1927. NeurIPS 2025Sequence Modeling with Spectral Mean Flows
1928. NeurIPS 2025SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
1929. NeurIPS 2025Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models
1930. NeurIPS 2025Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
1931. NeurIPS 2025ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On
1932. NeurIPS 2025Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
1933. NeurIPS 2025ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
1934. NeurIPS 2025Show-o2: Improved Native Unified Multimodal Models
1935. NeurIPS 2025Sign-In to the Lottery: Reparameterizing Sparse Training
1936. NeurIPS 2025Simple Distillation for One-Step Diffusion Models
1937. NeurIPS 2025Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
1938. NeurIPS 2025Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
1939. NeurIPS 2025Solving Inverse Problems with FLAIR
1940. NeurIPS 2025SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement
1941. NeurIPS 2025Space Group Equivariant Crystal Diffusion
1942. NeurIPS 2025Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling
1943. NeurIPS 2025SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
1944. NeurIPS 2025Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
1945. NeurIPS 2025Sparse Image Synthesis via Joint Latent and RoI Flow
1946. NeurIPS 2025Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
1947. NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
1948. NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
1949. NeurIPS 2025Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
1950. NeurIPS 2025Split Gibbs Discrete Diffusion Posterior Sampling

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.