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 90 of 138

4451. NeurIPS 2025MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
4452. NeurIPS 2025MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
4453. NeurIPS 2025MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
4454. NeurIPS 2025MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
4455. NeurIPS 2025MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
4456. NeurIPS 2025Multitask Learning with Stochastic Interpolants
4457. NeurIPS 2025Multivariate Latent Recalibration for Conditional Normalizing Flows
4458. NeurIPS 2025Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
4459. NeurIPS 2025Native-Resolution Image Synthesis
4460. NeurIPS 2025Neural Entropy
4461. NeurIPS 2025Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics
4462. NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
4463. NeurIPS 2025Neural-Driven Image Editing
4464. NeurIPS 2025NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
4465. NeurIPS 2025NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods
4466. NeurIPS 2025Neurosymbolic Diffusion Models
4467. NeurIPS 2025Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
4468. NeurIPS 2025No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
4469. NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
4470. NeurIPS 2025Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
4471. NeurIPS 2025Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
4472. NeurIPS 2025Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion
4473. NeurIPS 2025Non-equilibrium Annealed Adjoint Sampler
4474. NeurIPS 2025Non-Markovian Discrete Diffusion with Causal Language Models
4475. NeurIPS 2025Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
4476. NeurIPS 2025Normalizing Flows are Capable Models for Continuous Control
4477. NeurIPS 2025Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
4478. NeurIPS 2025NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
4479. NeurIPS 2025NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling
4480. NeurIPS 2025ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
4481. NeurIPS 2025OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement
4482. NeurIPS 2025OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
4483. NeurIPS 2025OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
4484. NeurIPS 2025Omnidirectional 3D Scene Reconstruction from Single Image
4485. NeurIPS 2025OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
4486. NeurIPS 2025OmniTry: Virtual Try-On Anything without Masks
4487. NeurIPS 2025OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions
4488. NeurIPS 2025On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
4489. NeurIPS 2025On Inductive Biases That Enable Generalization in Diffusion Transformers
4490. NeurIPS 2025On scalable and efficient training of diffusion samplers
4491. NeurIPS 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
4492. NeurIPS 2025On the Edge of Memorization in Diffusion Models
4493. NeurIPS 2025On the Relation between Rectified Flows and Optimal Transport
4494. NeurIPS 2025One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting
4495. NeurIPS 2025One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
4496. NeurIPS 2025One-Step Diffusion-Based Image Compression with Semantic Distillation
4497. NeurIPS 2025One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
4498. NeurIPS 2025One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
4499. NeurIPS 2025Online Feedback Efficient Active Target Discovery in Partially Observable Environments
4500. NeurIPS 2025OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language 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.