Diffusion Models

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Period ending 2026-09-14

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Period ending 2026-09-07

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A weekly snapshot of new work published in Diffusion Models.

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  1. Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation

    Aug 5, 2026Zehua Chen, Junyou Wang, Yuxuan Jiang +5Joint Audio-Video GenerationDiffusion Models

  2. STEP-OPD: Rethinking Output Targets and Internal Dynamics in On-Policy Distillation for Diffusion Models

    Aug 5, 2026Qingyan Wei, Guangzhao Li, Xiaobing Tu +5On-Policy DistillationRp-Opsd

  3. In-Context Forcing: Uncovering Context Effects in Autoregressive Video Diffusion

    Aug 5, 2026Lingxiao Yang, Liu Liu, Moran Li +4Video Diffusion ModelsAction Denoising

  4. Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown Manifolds

    Aug 5, 2026Yizhu Wang, Mu Niu, Xiaochen YangConditional Latent DiffusionLatent Diffusion Model

  5. When Diffusion Models Forget Who You Are: Identity Preservation in Face Inpainting under Large Occlusions

    Aug 5, 2026Feng Ding, Shuhuai Xie, Yue Zhou +3Context-Conditioned InpaintingDiffusion Models

  6. Rethinking Pixel Mean Flows via Interval Denoiser

    Aug 5, 2026Alexander Zaytsev, Dmitry Baranchuk, Alexander Korotin +1DenoiserOptical Flow

  7. Diff-Symbo: Text-Controlled Long-Duration Symbolic Music Generation Using Autoregressive Latent Diffusion Model

    Aug 5, 2026Zhiwei Lin, Jun Chen, Boshi Tang +5Generative Music ModelsMusic Generation

  8. StyleComposer: Training-Free Multi-Reference Style Composition

    Aug 5, 2026Sanghyeok Lee, Jihye Kang, Namhyuk AhnPhotorealistic Style TransferDiffusion Models

  9. When does training on downscaled images yield the same gradients?

    Aug 5, 2026Seunghyun JiDiffusion TransformersDataset Distillation

  10. Season: Spectrum-Aware Orthogonal Gradient Refinement for Transfer-Based Adversarial Attacks

    Aug 5, 2026Tianyi Wang, Zhenghao Gao, Shengjie XuBlack-Box Adversarial AttacksVision Transformer

  11. Assessment of Conditional Diffusion Model for Synthetic Histopathology Image Generation

    Aug 4, 2026Seyed Kahaki, Shijie Li, Weijie Chen +1Medical Image GenerationPathology

  12. Progressive Learning of a Diffusion-based Inpainting Model for Separating Overlapped Fingerprints

    Aug 4, 2026Noor Hussein, Anil K. Jain, Karthik NandakumarFingerprintContext-Conditioned Inpainting

  13. BRACE: Taming Sharp Irregularities via Barycentric Rational Forecasting for Fast Diffusion Transformers Inference

    Aug 4, 2026Jinlong Yang, Jinke Wu, Lizilin +1Diffusion TransformersDataset Distillation

  14. Should the Boundary Term Be Learned in Reflected Diffusion? Conormal Trace and Reflection Masking

    Aug 4, 2026Ziyue Wang, Takafumi KanamoriScore-Based Diffusion ModelReflection Layers

  15. Diffuse to Compress: Leveraging Diffusion LMs for Lossless Compression

    Aug 4, 2026Angelo Nardone, Paolo FerraginaLarge Language Model CompressionModel and Context Compression

  16. Self-Supervised Representation-Guided Generative Dataset Distillation

    Aug 4, 2026Mingzhuo Li, Guang Li, Linfeng Ye +4Dataset DistillationSelf-Supervised Representations

  17. DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch Attack

    Aug 4, 2026Hoseong Tae, Jong-Seok LeeBlack-Box Adversarial AttacksDiffusion-Based Vision-Language-Actions

  18. Rectify Then Diffuse: Disentangling Concepts Before Denoising Trajectory Unfolds

    Aug 4, 2026Ning Zhu, An Chen, Mengfei Zhao +4Text-To-Image Diffusion ModelsDenoising Trajectory

  19. Simulation-free and finite-time diffusion model

    Aug 4, 2026Kentaro Kaba, Masayuki Ohzeki, Yuki SughiyamaDiffusion ModelsConditional Distribution

  20. SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation

    Aug 4, 2026Lin Jiang, Dahai Yu, Ravikumar Gelli +1Synthetic DataAnomaly

  21. DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers

    Aug 4, 2026Binglei Li, Mengping Yang, Zhiyu Tan +4Diffusion TransformersDataset Distillation

  22. TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models

    Aug 4, 2026Seokho Han, Dongwei Wang, Jinhee Kim +4Diffusion Models

  23. CAPE-T2V: Captioner-Anchored Prompt Enhancement toward Two-Sided Conditioning Alignment in Text-to-Video Generation

    Aug 4, 2026Yizhuo Jia, Jingyun Hua, Yuanxing ZhangVideo CaptioningDiffusion Transformers

  24. DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning

    Aug 4, 2026Tristan Wu, Daniel Chin, Junan Zhang +3SynthesizerDiffusion Models

  25. A Hyperfinite Framework for Score-Based Generative Modeling

    Aug 3, 2026Sunder Ram KrishnanScore-Based Diffusion ModelStochastic Differential Equations

  26. AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling

    Aug 3, 2026Jiajun Liang, Yucheng Liao, Yukang Cao +12Diffusion Language ModelsDiffusion Transformers

  27. Noise in Diffusion Models Is a Learnable Input

    Aug 3, 2026Shengzhi Deng, Chenqi Ye, Yanze GuoDiffusion ModelsGenerative Quality

  28. CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization

    Aug 3, 2026Chuyan Chen, Peng Sun, Kun YuanDiffusion TransformersMuon

  29. Dynamic UAV-based search operations using probabilistic diffusion modeling of Man Overboard incident victims

    Aug 3, 2026Dimosthenis Angelis, Evangelos BoukasVesselsRescue

  30. SPARE: Structural Parameter-Free Affinity Regularization for Flow Matching

    Aug 3, 2026Zong-Wei Hong, Jinglun Li, Shen Zhang +3Diffusion TransformersRepresentation-Alignment Loss

  31. Entity-Aware Sequence Transduction for Player-Centric Ball Action Spotting

    Aug 3, 2026Ruifeng Wang, Di Yang, Jiangtao WangSports AnalyticsTemporal Action Localization

  32. UDT: Reconciling U-Nets and Diffusion Transformers with Data-Adaptive Token Reduction

    Aug 2, 2026Junno Yun, Yaşar Utku Alçalar, Mehmet AkçakayaDiffusion TransformersU-Net

  33. Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion

    Aug 2, 2026Wei-Han Hsu, Chih-Cheng Chang, Bo-Yu Chen +2Speech SeparationTranscription

  34. Diffusion-Based Body Schema Learning Enabling Abnormal-State Adaptation in Musculoskeletal Robots

    Aug 2, 2026Kento Kawaharazuka, Shuhei IkemotoForearmRobots

  35. Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors

    Aug 1, 2026Alexander ScheinkerDiffusion ModelsTraining-Inference Mismatch

  36. Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs

    Aug 1, 2026Zhenhong Sun, Hanqing Zhao, Yatao Bian +7Mathematical ReasoningDiffusion Language Models

  37. InstancePin: Instance-Addressable Layout-to-Image Diffusion via Coordinate Pinning

    Aug 1, 2026Chaoyue Wu, Yunfei Zhang, Si WuConditional Latent DiffusionSemantic Region

  38. Robust Watermarks Meet Backdoored Models: Evading Diffusion Semantic Watermarks via Stealthy Backdoor

    Aug 1, 2026Jinyuan Liu, Tianshuo Cong, Pei Li +4WatermarkingWatermarks

  39. Reconstruction-Shift Discrimination via Mask-Guided Latent Diffusion for Medical Anomaly Detection

    Aug 1, 2026Yibo Wan, Jinyu Cai, Yunhe Zhang +2Conditional Latent DiffusionLatent Representation

  40. Convergence and Regret of the Policy Gradient for Multi-Armed Bandits in Diffusion Environment

    Jul 31, 2026Yanwei Jia, Du OuyangPolicy GradientOptimal Policies

  41. DiffusionGemma Technical Report

    Jul 31, 2026DiffusionGemma Team, Adrien Ali Taïga, James Assiene +41Diffusion Language ModelsAutoregressive Generation

  42. OnlineCache: Learning Dynamic Caching Policies with Error Correction for Efficient Diffusion Inference

    Jul 31, 2026Zhikang Xie, Xichen Ye, Yifan Wu +5Diffusion ModelsCache

  43. DualDiT: A Conditional Dual-Output Diffusion Transformer for Joint OCT Image and Segmentation Mask Generation

    Jul 31, 2026Fernando García-Torres, Rocío del Amor, Sandra Morales +4Medical Image GenerationOptical Coherence Tomography

  44. A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples

    Jul 31, 2026Zixuan Fu, Chong Wang, Lanqing Guo +3Diffusion Models

  45. Improving scDiffusion with Sparsity-Biased Classifier-Free Guidance

    Jul 31, 2026Yu Song, Hao Sun, Ikuko Nishikawa +1Classifier-Free GuidanceSingle-Cell Rna

  46. DiffAttack: Evasion Attacks Against Face Recognition via Latent Diffusion Models

    Jul 31, 2026Omid Ahmadieh, Nima KarimianBlack-Box Adversarial AttacksLatent Diffusion Model

  47. Conditioning Tree-Based Diffusions and Flows for Probabilistic Tabular Regression

    Jul 30, 2026Silas KoemenGradient Boosted TreeRegression

  48. WaiT for the Signal: Simple Frequency-Aware Flow-Matching

    Jul 30, 2026Krunoslav Lehman Pavasovic, Théophane Vallaeys, Stéphane Mallat +4Discrete Wavelet TransformDiffusion Transformers

  49. MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion

    Jul 30, 2026Yunzhan Fu, Xiangyu Shen, Yifei Sun +3Visible Image FusionMultimodal Deep Learning

  50. ReGenVC: End-to-End Real-Time Generative Video Coding at Ultra-Low Bitrate

    Jul 30, 2026Zheyuan Zhang, Johnson WuUltra-Low BitratesVariational Autoencoder Latent

  51. TongueReenact: Geometry-Anchored Tongue Synthesis for Face Reenactment

    Jul 30, 2026MD Wahiduzzaman Khan, Mingshan Jia, Xiaolin Zhang +2Cross-Lingual TransferDiffusion Models

  52. ARD-REFSM: Enhancing Reflection Symmetry Detection with Asymmetric Denoising and Rotation Equivariance

    Jul 30, 2026Dongfu Yin, Rourou Su, Cong Zhao +1SymmetryExact Equivariance

  53. FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference

    Jul 30, 2026Hanshuai Cui, Zhiqing Tang, Zhi Yao +3Diffusion TransformersDrafter

  54. EgoGVAE: Ego-body Mesh Reconstruction via Guided Variational Autoencoder

    Jul 30, 2026Jaehun Jung, Wonjun KimHuman Mesh RecoveryMesh Recovery

  55. Looped Transformers with Source-Centered State Evolution

    Jul 30, 2026Bum Jun Kim, Kohei Hayashi, Shunsuke Kamiya +3Recurrent StateDiffusion Transformers

  56. 4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans

    Jul 30, 2026Renlong Wu, Haoran Chen, Yuxiang Wei +34D GenerationHuman Motion Generation

  57. When Do Learned Diffusion Proposals Help Constraint Solving? A Controlled Study on Continuous Algebraic Systems

    Jul 29, 2026Quang Bui, Sparsh Roy, Akash Gundimeda +1SolversConflict-Based Search

  58. Dual Inversion for Text-to-Image Diffusion Models: From Both Prompt and Noise Perspectives

    Jul 29, 2026Xiaolong Liu, Junjian Li, Yuan Xiao +4Text-To-Image Diffusion ModelsText-To-Image

  59. FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

    Jul 29, 2026Jindong Yang, Han Fang, Weiming Zhang +2WatermarkingDiffusion Models

  60. FreeShadow: Training-Free Shadow Removal via Illumination Transfer and Selective Content Preservation in Diffusion Models

    Jul 29, 2026Yinan Wang, Yan Huang, Yong Xu +1Shadow RemovalDiffusion Models