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 119 of 138

5901. NeurIPS 2024Emergence of heavy tails in homogenized stochastic gradient descent
5902. NeurIPS 2024Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
5903. NeurIPS 2024Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
5904. NeurIPS 2024Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
5905. NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
5906. NeurIPS 2024Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
5907. NeurIPS 2024Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
5908. NeurIPS 2024Equivariant Neural Diffusion for Molecule Generation
5909. NeurIPS 2024Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
5910. NeurIPS 2024Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
5911. NeurIPS 2024Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
5912. NeurIPS 2024Estimating Epistemic and Aleatoric Uncertainty with a Single Model
5913. NeurIPS 2024ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
5914. NeurIPS 2024Evaluating the design space of diffusion-based generative models
5915. NeurIPS 2024EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
5916. NeurIPS 2024Exocentric-to-Egocentric Video Generation
5917. NeurIPS 2024Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
5918. NeurIPS 2024Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
5919. NeurIPS 2024Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing
5920. NeurIPS 2024Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
5921. NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
5922. NeurIPS 2024Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation
5923. NeurIPS 2024Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
5924. NeurIPS 2024FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
5925. NeurIPS 2024Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
5926. NeurIPS 2024Fast samplers for Inverse Problems in Iterative Refinement models
5927. NeurIPS 2024Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
5928. NeurIPS 2024Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
5929. NeurIPS 2024FastDrag: Manipulate Anything in One Step
5930. NeurIPS 2024Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
5931. NeurIPS 2024Faster Local Solvers for Graph Diffusion Equations
5932. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
5933. NeurIPS 2024Few-Shot Diffusion Models Escape the Curse of Dimensionality
5934. NeurIPS 2024FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
5935. NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
5936. NeurIPS 2024FIFO-Diffusion: Generating Infinite Videos from Text without Training
5937. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
5938. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
5939. NeurIPS 2024FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
5940. NeurIPS 2024FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
5941. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
5942. NeurIPS 2024FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
5943. NeurIPS 2024FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner
5944. NeurIPS 2024FouRA: Fourier Low-Rank Adaptation
5945. NeurIPS 2024FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
5946. NeurIPS 2024Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
5947. NeurIPS 2024From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
5948. NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
5949. NeurIPS 2024FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
5950. NeurIPS 2024General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process

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.