Denoising

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Period ending 2026-09-21

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

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

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

    Aug 4, 2026Ziyue Wang, Takafumi KanamoriScore-Based Diffusion ModelBoundaries

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

    Aug 4, 2026Hoseong Tae, Jong-Seok LeeFlow-Matching Vision-Language-ActionAdversarial Examples

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

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

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

    Aug 4, 2026Lin Jiang, Dahai Yu, Ravikumar Gelli +1Synthetic DataAnomalous Frame Detection

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

    Aug 4, 2026Tristan Wu, Daniel Chin, Junan Zhang +3Loop EngineeringDiscrete Diffusion Model

  7. DiffImaginE: Imagine to Verify Entity Types with Diffusion

    Aug 4, 2026Feng Zhang, Feiyu Han, Rongxin Yang +11Named-Entity RecognitionIdentity-Conditioned Latent Diffusion Models

  8. A Hyperfinite Framework for Score-Based Generative Modeling

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

  9. xPress: Parallel Refinement for Diffusion Drafters in Speculative Decoding

    Aug 3, 2026Zheng Wang, Davis Wertheimer, Yu Chin Fabian Lim +4Speculative DecodingParallel

  10. GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition

    Aug 3, 2026Jidong Kuang, Hongsong Wang, Jie GuiSkeleton-Based Action RecognitionText-To-Motion Generation

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

    Aug 3, 2026Dimosthenis Angelis, Evangelos BoukasUnmanned Aerial VehiclesExtended Kalman Filter

  12. Disagree to Accelerate: Closing the Loop on Diffusion Feature Forecasts

    Aug 3, 2026Yanchao Li, Jiaqing Xie, Ben Gao +6Image DenoisingAutonomous Racing

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

    Aug 3, 2026Ruifeng Wang, Di Yang, Jiangtao WangTemporal Action LocalizationSpatial Attention

  14. Astrolabe: Spherical-Map Guidance Across Diffusion Pipelines for Full-Body Capture from Unconstrained Images

    Aug 2, 2026Shuliang Zhu, Qi Wang, Ryugo Morita +1Reward-Guided DiffusionLane-Level Map Generation

  15. 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

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

    Aug 1, 2026Alexander ScheinkerDiscrete Diffusion ModelLong Rollouts

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

    Aug 1, 2026Zhenhong Sun, Hanqing Zhao, Yatao Bian +7Mathematical ReasoningLarge Language Model Reasoning

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

    Aug 1, 2026Chaoyue Wu, Yunfei Zhang, Si WuIdentity-Conditioned Latent Diffusion ModelsLarge-Scale Image Generation

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

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

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

    Aug 1, 2026Yibo Wan, Jinyu Cai, Yunhe Zhang +2Identity-Conditioned Latent Diffusion ModelsLatent Representation

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

    Jul 31, 2026Zhikang Xie, Xichen Ye, Yifan Wu +5CacheImage Denoising

  22. Dense Temporal Contrast Synthesis via Conditioned Latent Transport

    Jul 31, 2026Smriti Joshi, Apostolia Tsirikoglou, Daniel M. Lang +15Magnetic Resonance ImagingMedical Image Generation

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

    Jul 31, 2026Omid Ahmadieh, Nima KarimianFacial RecognitionAdversarial Examples

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

    Jul 30, 2026Silas KoemenGradient Boosted TreeLogistic Regression

  25. Logographic Character Visual Pretraining via Semantic-based Contrastive Learning

    Jul 30, 2026Daqian Shi, Wei Cao, Xiaoyu Zheng +3Contrastive LearningContrastive Decoding

  26. MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck

    Jul 30, 2026Dongyi Liu, Haixing He, Xiaobao Wu +1Agent MemoryNovel Dual-Branch Identity Injection Mechanism

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

    Jul 30, 2026Dongfu Yin, Rourou Su, Cong Zhao +1SymmetryRotation-Invariant Descriptors

  28. 4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans

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

  29. ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution

    Jul 29, 2026Christopher Warner, Jonas Mago, JR Huml +1Electroencephalography Spatial Super-ResolutionElectroencephalography Foundation Models

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

    Jul 29, 2026Quang Bui, Sparsh Roy, Akash Gundimeda +1Classical SolversAlgebraic Structures

  31. Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality

    Jul 29, 2026Xiaoyin Pan, Christian R. Shelton, Rakshith Mahishi +1Determinantal Point ProcessDiffusion Processes

  32. MoSAIC: Aligned Intervention Supervision for Part-Local Motion Style Transfer

    Jul 28, 2026Nazanin Amini, Kevin DesaiPhotorealistic Style TransferMosaic

  33. Denoising growth complexity: Data geometry and certified schedules for diffusion sampling

    Jul 28, 2026Martin J. WainwrightDiffusion SamplingOptimal Sample Complexity

  34. Two2Four: Generative Quadruped Puppeteering from Human Motion

    Jul 28, 2026Fatemeh Zargarbashi, Zehong Qiu, Dhruv Agrawal +4Human Motion GenerationHuman Motion

  35. From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations

    Jul 28, 2026Abhishek A. Sabnis, Mihai Mitrea, Lya Lugon +5Air PollutionGenerative Models

  36. Noise-Free One-Step LoRA for Task-Driven Image Restoration with Diffusion Priors

    Jul 28, 2026Jaeha Kim, Kyoung Mu LeeImage RestorationDiffusion Priors

  37. ScaleResfusion: Residual Rectified Flow based on Residual Vector Field

    Jul 28, 2026Zhenning Shi, Chen Xu, Junhao Zhang +4Image RestorationRectified Flow

  38. Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models

    Jul 27, 2026Taimoor Rizwan, Sara Atito, Muhammad Awais +2Identity-Conditioned Latent Diffusion ModelsIdentity

  39. Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation

    Jul 27, 2026Farzana Yasmin Ahmad, Vanamala Venkataswamy, Geoffrey FoxImage DenoisingVoxel

  40. Spatio-Temporal Conditional Denoising Transformer for Modality-Missing RGBT Tracking

    Jul 27, 2026Andong Lu, Ziyi Zha, Jiandong Jin +4Spatio-Temporal TransformersMissing Modalities

  41. Denoising 3D images: robustness of persistent homology measures

    Jul 27, 2026Ebru Dagdelen, Aakash Karlekar, Manav Arora +4Persistent HomologyImage Denoising

  42. MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction

    Jul 27, 2026Dehao Hao, Kaiyi Zhang, Tanghui Jia +10Voxel3D Generative Models

  43. PAC-DP: PAC-Bayesian Diffusion Policy Learning

    Jul 27, 2026Mohammad Hasan Yeganegi, Dian Yu, Andrea Del Prete +2Robot PoliciesBayesian

  44. Catalyst Diffusion Transformer: Generative Inverse Design of Heterogeneous Catalysts

    Jul 27, 2026Hayoung Doo, Dong Hyeon Mok, Seoin Back +1Heterogeneous CatalysisGenerative Inverse Design

  45. SILICA: Repurposing Diffusion Priors for Joint Glass Segmentation and Depth Estimation

    Jul 27, 2026Tarun R, Anuj Verma, Laksh Nanwani +2Monocular Depth EstimationDepth Estimation

  46. LoTA-N2N: Local Trace Adaptation for Zero-Shot Self-Supervised Image Denoising

    Jul 27, 2026Jintong Hu, Bin Xia, Junlin Liu +2Image DenoisingSpatial Patching

  47. BeyondFusion: Self-Aligned Latent Diffusion for Calibration-Free Infrared Super-Resolution and Infrared-Visible Fusion

    Jul 27, 2026Minchong Chen, Xiaoyun Yuan, Minyu Cao +4Infrared-Visible Image FusionInfrared

  48. Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling

    Jul 27, 2026Qitan Shi, Cheng Jin, Ziyuan Liu +1Diffusion SamplingText-To-Image Diffusion Models

  49. OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models

    Jul 26, 2026Zhaoyuan He, Muhammad Muaz, Lili QiuCacheImage Denoising

  50. Trainable Nonexpansive Denoisers for Contractive Image Reconstruction

    Jul 25, 2026Arghya Sinha, Aditya Banerjee, Trishit Mukherjee +1Image DenoisingImage Reconstruction

  51. Stabilizing Deep Reconstruction Operators with Contractive Anchoring

    Jul 25, 2026Arghya Sinha, Trishit Mukherjee, Kunal N. ChaudhuryImage ReconstructionImage Denoising

  52. From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

    Jul 25, 2026Jinshu Huang, Yiming Jiang, Chunlin WuScore-Based Diffusion ModelGenerative

  53. Diffusion-Guided Search via Exponential Tilting (DiffTilt): An Application to Falsification of Safety-Critical Systems

    Jul 25, 2026Tanmay Khandait, Preetom Biswas, Hideki Okamoto +3Safety-Critical ScenariosFailure Mechanism

  54. Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability

    Jul 24, 2026Ahmed M. Abuzuraiq, Philippe PasquierText-To-Image Diffusion ModelsExplainable Artificial Intelligence

  55. Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising

    Jul 24, 2026Nikolas MarkouImage DenoisingU-Net

  56. Efficient Recommendations via Graph Coarsening and Label Propagation

    Jul 24, 2026Alessandro Sbandi, Federico Siciliano, Fabrizio SilvestriGraph Neural NetworksRecommendation

  57. Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising

    Jul 24, 2026Dengyu Wu, Clement Ruah, Jiechen Chen +2Diffusion Language ModelsLLM Inference Efficiency

  58. From Score Approximation to Distribution Approximation in Score-Based Diffusion Models

    Jul 24, 2026Lan V. TruongScore-Based Diffusion ModelNeural-Network Approximation

  59. Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models

    Jul 24, 2026Junlin Fang, Do Nguyen-Thanh, Xiaogang Xu +2Hallucination DetectionReasoning Traces

  60. Spectral Prior for Reducing Exposure Bias in Diffusion Models

    Jul 24, 2026Yuya Kobayashi, Masato Ishii, Yuhta Takida +2Latent Diffusion ModelSignal-To-Noise Ratio