Diffusion Models

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-14

22 new papers

A weekly snapshot of new work published in Diffusion Models.

Period ending 2026-09-07

34 new papers

A weekly snapshot of new work published in Diffusion Models.

Inside this field

Focused directions

1,345 papers

Latest in Diffusion Models

Open your feed →
CardsList

  1. SlotDiT: Object-Centric Representations for Diffusion Transformers

    Sep 15, 2026Gjergj Plepi, Sven BehnkeDiffusion Transformers

  2. MedDiME: Efficient Latent Diffusion with Adaptive Masking for Medical Counterfactual Generation

    Sep 14, 2026Yan Zeng, Changlu Guo, Anders Nymark Christensen +2Medical Image GenerationConditional Latent Diffusion

  3. Branched Optimal Transport Amortization

    Sep 14, 2026Semyon Semenov, Viktor Kovalchuk, Meir Roketlishvili +4Generative Flow NetworksOptimal Transport

  4. Score-based Outlier Generation via Controlling the Radon-Nikodym Derivative

    Sep 14, 2026Amartya Mukherjee, Tristan Milne, Kry Yik-Chau Lui +2Score-Based Diffusion ModelOutliers

  5. Learning Interaction between Image and Layout Priors for Joint Image-Layout Generation in Design Templates

    Sep 12, 2026Shirong Yang, Bo Yang, Ying CaoLayoutsGenerative Processes

  6. Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning

    Sep 12, 2026Iman Khazrak, Narges Nejad, Mostafa M. Rezaee +1Low-Rank Adaptation ExpertsDiffusion Models

  7. Exploring Diffusion Transformers for Cross-Modal Augmentation in Multimodal Brain State Decoding

    Sep 12, 2026Ziwei Wang, Xingyi He, Hongbin Wang +3Cross-Modal AttentionMultimodal Learning

  8. Thinking with Looped Flows

    Sep 12, 2026Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3Generative Flow NetworksRecurrent Model

  9. Generalized Score Matching for Parameter Estimation on Convex Domains

    Sep 11, 2026Nishanth Shetty, Saisuchith Mahajan, Chandra Sekhar SeelamantulaEstimatorsScore Function

  10. Harnessing Intrinsic Subject-Aware Attention for Controllable Multi-Subject Video Generation

    Sep 11, 2026Niange Yu, Ye Tian, Biaolong Chen +5Controllable High-Quality Human Video GenerationDiffusion Transformers

  11. Zero-shot rib design: merging training-free generative prior with topology optimization

    Sep 11, 2026Yongmin Kwon, Namwoo KangTopology OptimizationComputer-Aided Design

  12. Multi-Modal Controlled Coherent Motion Generation

    Sep 11, 2026Yifei Liu, Qiong Cao, Hongwei Yi +2Human Motion GenerationMultimodal Generation

  13. Multimodal Taxonomic Conditioning for Generative Plankton Imagery

    Sep 10, 2026Daniela Ivanova, Ozgu Goksu, Nicolas PugeaultIn-Situ Plankton ClassifiersUnconditional Image Generation

  14. RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation

    Sep 10, 2026Ramiro Valdes Jara, David Chapman, Adam MeyersData ImputationImputation

  15. SceneHI: High-Resolution 3D-Consistent Scene Texturing with Controllable Illumination

    Sep 9, 2026Athanasios Tragakis, Marco Aversa, Daniela Ivanova +43D Scene UnderstandingHigh-Resolution

  16. Interpreting Object-Dependent Concept Brittleness in Text-to-Image Diffusion Models

    Sep 9, 2026Yifan Yuan, Xiangyu Liu, Hongming Shan +5Text-To-Image Diffusion ModelsDenoising Trajectory

  17. Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

    Sep 8, 2026Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1Text-To-Image Diffusion ModelsDiffusion Models

  18. Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks

    Sep 8, 2026Mariia Drozdova, Stéphane Liem Nguyen, François FleuretDiffusion ModelsDenoising Diffusion Probabilistic Model

  19. Revisiting Spectral Representations in Generative Diffusion Models

    Sep 8, 2026Yuehao Wang, Peihao Wang, Hanwen Jiang +3Diffusion ModelsSelf-Supervised Representations

  20. Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation

    Sep 8, 2026Nian Wu, Nivetha Jayakumar, Jiarui Xing +1Diffusion ModelsCinematic Video Generation

  21. Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation

    Sep 8, 2026Igor Pavlovic, Thiemo Wandel, Anton Obukhov +6Monocular Depth EstimationDiffusion Transformers

  22. HyCO: A Hybrid Neural Solver for Combinatorial Optimization

    Sep 7, 2026Yuheng Li, Di Yang, Haipeng Chen +1Neural SolversCombinatorial Optimization

  23. VoT: Vision-of-Thought for Unified Multimodal Representation Alignment

    Sep 7, 2026Jingxiang Sun, Chao Liao, Zhengxiong Luo +6Vision-Language AlignmentText-To-Image Models

  24. Topologically Consistent Agricultural Parcel Vectorization with Semantic-Guided Diffusion and Topology-Aware Polygonization

    Sep 7, 2026Weiqin Jiao, Xiaolong Zuo, Claudio PerselloPolygonsBoundary Detection

  25. Latent-to-Latent Flow for Volumetric Stochastic Segmentation

    Sep 7, 2026Omar Todd, Sooha Kim, Raghav Mehta +5Medical Image SegmentationLatentflow

  26. PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D Gaussians

    Sep 7, 2026Jiang Qin, Chunji Lv, Yangguang Wei +6Physics Simulation4D Generation

  27. Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations

    Sep 3, 2026Denis M. Akola, David F. Fouhey3D Foundation Models3D

  28. Conditioning Degenerate Diffusion Models

    Sep 3, 2026Uğur Aydın, Tamer BaşarPocket-Conditioned DiffusionDiffusion Models

  29. Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis

    Sep 3, 2026Sanyuan Chen, Min-Jae Hwang, Sho Inoue +12Text-To-AudioFull-Duplex Dialogue

  30. SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-Resolution

    Sep 3, 2026Federico Putamorsi, Leonardo Zini, Marcella Cornia +1Real-World Image Super-ResolutionDiffusion Transformers

  31. LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes

    Sep 3, 2026Chuyan Chen, Haoxing Chen, Kun Chen +27Contrastive Language-Image Pre-TrainingDiffusion Transformers

  32. ToPO: Token-Conditioned Preference Routing for Attention-Based Latent Diffusion Models

    Sep 3, 2026Juntao Xu, Shihong Li, Hoi Fan Au +1Conditional Latent DiffusionRobust Preference Optimization

  33. EraseSAE: Surgical Concept Erasure in Text-to-Video Diffusion Models via Sparse Autoencoders

    Sep 3, 2026Xinghao Wang, Dong Li, Wei Yu +5Concept ErasureText-To-Image Diffusion Models

  34. FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow

    Sep 3, 2026Byeongjun Park, Byung-Hoon Kim, Hyungjin ChungControllable High-Quality Human Video GenerationCamera Control

  35. LeanGRPO: Eliminating Redundant Recomputation in Diffusion RL

    Sep 3, 2026Sijie Wang, Zhiqiang Tan, Xinrui Yang +1Reward GradientsDiffusion Models

  36. SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis

    Sep 3, 2026Shunan Zheng, John J. HasenbeinAccurate Flood PredictionSurrogate Modeling

  37. Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields

    Sep 2, 2026Amir Mallak, Alaa Maalouf, Lior Wolf +2Neural FieldsNeural Tangent Kernel

  38. SelfLift: Accelerating Few-Step Diffusion via Self-Recovering Resolution Transition

    Sep 2, 2026Tingyan Wen, Chenqian Yan, Xurui Peng +4Diffusion ModelsDataset Distillation

  39. Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation

    Sep 2, 2026Akio Hayakawa, Yusuke Mukuta, Tatsuya HaradaMulti-View Diffusion ModelPanoramic Images

  40. Generative Diffusion Surrogates with Analytical Variance Schedule

    Sep 1, 2026Patrick Reichherzer, Gianluca Gregori, David N. Hosking +1Diffusion ModelsPlasma Shape Control

  41. Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning

    Sep 1, 2026Mariia Drozdova, Aidan Sirbu, Pietro Miotti +4Future Llm-Assisted Solver DevelopmentInference-Time

  42. Diffusion Based Unpaired Data Learning for Inverse Problems

    Sep 1, 2026Chenglong Bao, Yiming Dang, Chenguang Duan +2Ill-Posed Inverse ProblemInverse Problem

  43. Reliability Challenges in Diffusion Vision-Language Models

    Sep 1, 2026Md. Atabuzzaman, Chris ThomasDiffusion Language ModelsLarge Language Model Reliability

  44. TimeSteer: Inference-Time Speech Scheduling in Joint Audio-Visual Diffusion Models

    Sep 1, 2026Chao Zhou, Yiling Chen, Qi Chu +3Joint Audio-Video GenerationVideo Diffusion Models

  45. P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image Enhancement

    Sep 1, 2026Ruoyu Guo, Haonan Zhong, Maurice Pagnucco +1Low-Light Image EnhancementDiffusion Models

  46. From Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion

    Sep 1, 2026Satoshi HayakawaDiffusion SamplingTruncation

  47. ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory Hardware

    Sep 1, 2026Yuannuo Feng, Yizhe Chen, Wenshuai Yao +4Diffusion ModelsIn-Memory Computing

  48. Denoising Diffusion Generative Models Secretly Calculate Attentions

    Sep 1, 2026Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3Denoising Diffusion Probabilistic ModelAutoencoder

  49. EarthLD: Towards Unified Open-World Landslide Understanding via Vision-Language Guided Diffusion Models

    Sep 1, 2026Yuanchao Su, Lianru Gao, Mengying Jiang +3LandslidesSeismic Interpretation

  50. Exact Global MCMC with Denoising Diffusion

    Aug 31, 2026Mitch HillMonte Carlo SamplingDiffusion Sampling

  51. Playability-Aware Audio-to-Tablature Guitar Transcription via Diffusion Models

    Aug 31, 2026Riccardo Simionato, Louis BigoMusic TranscriptionDiffusion Models

  52. Tracing distinguishability through transformer processing with stochastic LayerNorm

    Aug 31, 2026Kieran MurphyBatch NormalizationDiffusion Transformers

  53. DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimation

    Aug 31, 2026Chang Nie, Guangming Wang, Zhe Liu +1Diffusion SamplingFeed-Forward Visual Geometry Estimation

  54. A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets

    Aug 31, 2026Jimmy Gammell, Kaushik RoySide-Channel AnalysisAdversarial Attack Strategies

  55. RegionCache: Semantic-Aware Region Reuse for Efficient Multi-Turn Image Generation

    Aug 30, 2026Peizheng Li, Xin Ai, Hanyuan Liu +2Diffusion EditingImage Editing

  56. Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow

    Aug 30, 2026Hoseong Hwang, Woorim Han, Joungin Chun +2Wasserstein Gradient FlowsReward Gradients

  57. DReSG: Diffusion Residuals for Stylized Gaussian Splatting

    Aug 29, 2026Zhongliang Liu, Wenjie Liu, Yang LiGaussian SplattingObject-Level Deformation Consistency

  58. AnaDiffusion: Anatomically CompositionalLatent Diffusion for Controllable 3D Brain MRI Generation

    Aug 24, 2026Huiwen Han, Lulin Liu, Bangya Liu +83D Latent Diffusion ModelMagnetic Resonance Imaging

  59. The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity

    Aug 13, 2026Martin J. WainwrightDiffusion SamplingOptimal Sample Complexity

  60. HPSD: Hybrid-Policy Self-Distillation for Text-Image-to-Video Diffusion Models

    Aug 13, 2026Jiazi Bu, Pengyang Ling, Yujie Zhou +10Video Diffusion ModelsDiffusion Models