Diffusion Models papers, 2023–2026
Diffusion, flow matching, and score-based generative modeling
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 6,900 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
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
694 papers, page 14 of 14
- NeurIPS 2025Unlocking Dataset Distillation with Diffusion Models
- NeurIPS 2025Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
- NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
- NeurIPS 2025Unveiling Concept Attribution in Diffusion Models
- NeurIPS 2025UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
- NeurIPS 2025V-CECE: Visual Counterfactual Explanations via Conceptual Edits
- NeurIPS 2025Value Diffusion Reinforcement Learning
- NeurIPS 2025Value Gradient Guidance for Flow Matching Alignment
- NeurIPS 2025VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
- NeurIPS 2025VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
- NeurIPS 2025VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption
- NeurIPS 2025Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
- NeurIPS 2025ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
- NeurIPS 2025Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
- NeurIPS 2025Video World Models with Long-term Spatial Memory
- NeurIPS 2025VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
- NeurIPS 2025VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
- NeurIPS 2025ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis
- NeurIPS 2025ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models
- NeurIPS 2025Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image
- NeurIPS 2025Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models
- NeurIPS 2025VividFace: A Robost and High-Fidelity Video Face Swapping Framework
- NeurIPS 2025VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models
- NeurIPS 2025VORTA: Efficient Video Diffusion via Routing Sparse Attention
- NeurIPS 2025VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences
- NeurIPS 2025Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
- NeurIPS 2025Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
- NeurIPS 2025Wasserstein Convergence of Critically Damped Langevin Diffusions
- NeurIPS 2025WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction
- NeurIPS 2025When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
- NeurIPS 2025When and how can inexact generative models still sample from the data manifold?
- NeurIPS 2025When Are Concepts Erased From Diffusion Models?
- NeurIPS 2025Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
- NeurIPS 2025Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
- NeurIPS 2025Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training
- NeurIPS 2025Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
- NeurIPS 2025WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild
- NeurIPS 2025WISA: World simulator assistant for physics-aware text-to-video generation
- NeurIPS 2025WMCopier: Forging Invisible Watermarks on Arbitrary Images
- NeurIPS 2025Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models
- NeurIPS 2025X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
- NeurIPS 2025Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
- NeurIPS 2025ZeroPatcher: Training-free Sampler for Video Inpainting and Editing
- NeurIPS 2025ZeroSep: Separate Anything in Audio with Zero Training
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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.
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