Denoising

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Period ending 2026-09-21

25 new papers

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Period ending 2026-09-14

22 new papers

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Period ending 2026-09-07

34 new papers

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1,018 papers

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  1. CPDDNet: Color-Polarization Denoising and Demosaicking Network

    Jul 1, 2026Qihang Zhang, Yusuke Monno, Masayuki Tanaka +1Infrared-Visible Image FusionImage Denoising

  2. AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution

    Jul 1, 2026Geunhyuk Youk, Jeonghyeok Do, Dayeon Kim +2Diffusion PriorsVariational Autoencoder

  3. Valdi: Value Diffusion World Models

    Jul 1, 2026Christopher Lindenberg, Kashyap ChittaLatent World ModelsModel Predictive Control

  4. Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences

    Jul 1, 2026Zhenjia Li, Jinrang Jia, Yifeng ShiPanoramic ImagesFeed-Forward 3D Gaussian Reconstruction

  5. Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling

    Jul 1, 2026Yu Yao, Huanjian Zhou, Andi Han +2Discrete Diffusion ModelParallel

  6. CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

    Jul 1, 2026Xinyu Jia, Weidong Guo, Wangyuan Zhao +3Medical Image GenerationSynthetic Data Augmentation

  7. Not All Prediction Targets Keep Training-Free Diffusion Guidance on the Manifold

    Jul 1, 2026Yunsung Lee, Hyeongmin LeeReward-Guided DiffusionTraining-Free

  8. Optimal scaling of MCMC algorithms: the Hamiltonian approach

    Jul 1, 2026P. Dobson, J. M. Sanz-Serna, K. C. ZygalakisMarkov Chain Monte CarloNeural Scaling Laws

  9. Robust 3D Alignment of Generative Reconstructions via Partial Monocular Observations

    Jul 1, 2026Yuchen Zhang, Luanyuan Dai, Yiwei Wang +73D ReconstructionMonocular Videos

  10. Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

    Jul 1, 2026Tianci Liu, Zihan Dong, Linjun Zhang +5Modular Agentic FrameworkPersonalization

  11. eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions

    Jun 30, 2026Qijun Chen, Shaofan LiVariational AutoencoderGenerative Priors

  12. Leveraging Phase Information to Boost Unrolled Network Learning for Image Deblurring

    Jun 30, 2026Samira Malek, Haichuan Zhang, Chul Lee +1Motion BlurDeep Unfolding Networks

  13. SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE

    Jun 30, 2026Or Hirschorn, Aaron Olender, Eli Alshan +3Panoramic ImagesGenerative Priors

  14. Cross-Space Distillation: Teaching One-Step Students with Modern Diffusion Teachers

    Jun 30, 2026Anh Nguyen, Ngan Nguyen, Duc Vu +11Bidirectional DistillationDiscrete Diffusion Model

  15. No Prompt, No Leaks: A Robust Generative Steganography Framework via Prompt-Free Diffusion

    Jun 30, 2026Jingwen Cai, Fen Xiao, Shuhua Deng +1SteganographyLatent Diffusion Model

  16. Diffusion-Based Material Regularization for Physics-Based Inverse Rendering

    Jun 30, 2026Jingwang Ling, Lifan Wu, Feng Xu +1Inverse RenderingSurface Reconstruction

  17. OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models

    Jun 30, 2026Huanlin Gao, Fang Zhao, Qiang Hui +8Diffusion SamplingOptimal Transport

  18. WarpI2I: Image Warping for Image-to-Image Translation

    Jun 30, 2026Shen Zheng, Anurag Ghosh, Gaurav Parmar +1Image-To-Image TranslationLatent Diffusion Model

  19. Diffusion-warm sampling of the XY model enables fast thermalization at scale

    Jun 29, 2026Sehmimul Hoque, Roger Melko, Pooya RonaghTwo-Dimensional Ising ModelMarkov Chain Monte Carlo

  20. EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics

    Jun 29, 2026Jiayu Chen, Hengyi Zhang, Maoliang Li +5Keyframe SelectionVideos

  21. Non-parametric recovery of causal diffusion mechanisms from steady-state observations

    Jun 29, 2026Richard Schwank, Mathias DrtonStochastic Differential EquationsCausal Graph

  22. T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation

    Jun 29, 2026Wentao Qu, Qi Zhang, Chenxu Wang +5Lidar3D Scenes

  23. GeoEdit: Geometry-Aware Object Editing via Dual-Branch Denoising

    Jun 29, 2026Yi He, Jiangming Wang, Xinyu Wang +53D EditingDiffusion Editing

  24. Variance Reduction on the Camera Axis: Multi-View Score Distillation for 3D

    Jun 29, 2026Marian Lupascu, Mihai Sorin Stupariu, Ionut MironicaMulti-View Diffusion ModelScore-Based Diffusion Model

  25. Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective

    Jun 29, 2026Cheng-Yi Lee, Yichi Zhang, Yuchen Yang +2WatermarksWatermarking

  26. Unsupervised Thermodynamics of Molecular Diffusion Models: Action-Operator Semantics and Auditable Free-Energy Readout

    Jun 28, 2026Wenjie XiDiffusion DynamicsThermodynamics

  27. FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On

    Jun 28, 2026Jiaxin Liu, Xiaoye Liang, Lai Jiang +2Virtual Try-OnDiscrete Diffusion Model

  28. Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction

    Jun 28, 2026Xin Dong, Lihan Zhang, Tianru Dai +23D ReconstructionDeformable Objects

  29. Adaptive Block Diffusion: Resolving Training-Inference Mismatch in Diffusion Language Models

    Jun 28, 2026Gagan JainDiffusion Language ModelsTraining-Inference Mismatch

  30. Understanding Evaluation Illusion in Diffusion Large Language Models

    Jun 28, 2026Hengxiang Zhang, Jiaxi Ren, Renchunzi Xie +1Diffusion Language ModelsParallel

  31. ReGuide: From Test-Time Guidance to Self-Improving Diffusion Policies

    Jun 27, 2026Tzu-Hsiang Lin, Srinivas Shakkottai, Dileep Kalathil +1Diffusion PoliciesReward Gradients

  32. Stochastic Optimal Control Sampling for Diffusion Inverse Problems

    Jun 27, 2026Jie Zhang, Youmei Qiu, Hanling Tian +3Ill-Posed Inverse ProblemDiffusion Sampling

  33. SATB-VR: Training Few-Step Video Restoration Diffusion Model using SNR-Aware Trajectory Blending

    Jun 27, 2026Haoran Bai, Xiaoxu Chen, Xiaoyu Liu +4Photorealistic Video RestorationImage Denoising

  34. HDDPM: Heteroscedastic Denoising Diffusion Probabilistic Model for Quantitative Low-Count Brain PET Recovery

    Jun 26, 2026Raymond Confidence, Udunna C. AnazodoPositron Emission TomographyDenoising Diffusion Probabilistic Model

  35. Monocular Avatar Reconstruction via Cascaded Diffusion Priors and UV-Space Differentiable Shading

    Jun 26, 2026Hong Li, Minqi Meng, Yanjun Liang +10Animatable 3D Human AvatarsInverse Rendering

  36. OSOR: One-Step Diffusion Inpainting for Effect-Aware Object Removal

    Jun 26, 2026Qinming Zhou, Chenxi Sun, Deyang Kong +6Video Object RemovalRemoval

  37. Diffusion Model Attribution via Spectral Coupling of Denoiser Responses

    Jun 26, 2026Pragati Shuddhodhan Meshram, Varun ChandrasekaranImage DenoisingSignatures

  38. DeVAR: Low-Dose CT Denoising via Visual Autoregressive Modeling

    Jun 26, 2026Xizhuo Zhang, Yannian Gu, Zhongzhen Huang +2Low-Dose Computed TomographyImage Denoising

  39. Measured-Subspace Consistency: A Plug-and-Play Operator for Diffusion Posterior Sampling in Accelerated MRI Reconstruction

    Jun 26, 2026Junhyeok Lee, Kyu Sung ChoiMagnetic Resonance Imaging ReconstructionPosterior Sampling

  40. RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance

    Jun 26, 2026Shiqiang GongDiffusion PlanningOffline Reinforcement Learning

  41. Class-frequency Guided Noise Schedule for Diffusion Models

    Jun 26, 2026Jiequan Cui, Beier Zhu, Qingshan Xu +3Low-Frequency CuesDiffusion Processes

  42. A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy

    Jun 26, 2026Xiangyu Qian, Jing Liu, Yunqing Tang +2MicroscopyImage Denoising

  43. PolyFlow: Continuous Topology Embedding Flow Matching for Artist-style Mesh Generation

    Jun 25, 2026Chunshi Wang, Haohan Weng, Junliang Ye +9MeshesHierarchical Flow Matching

  44. DnA: Denoising Attention for Visual Tasks

    Jun 25, 2026Ron Campos, Subhajit Maity, Xin Li +2Self-Supervised Vision TransformersImage Denoising

  45. Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis

    Jun 25, 2026Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2Cardiac Magnetic Resonance ImagingMedical Image Generation

  46. Nemotron-Labs-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context

    Jun 25, 2026Fitsum Reda, John Kamalu, Roger Waleffe +3Diffusion Language ModelsAutoregressive Diffusion

  47. Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks

    Jun 25, 2026Libo Sun, Po-Wei Harn, Zewei Zhang +2Discrete Diffusion ModelAblation

  48. TensorLDM: A Component-Wise Latent Diffusion Model for Volumetric DTI Reconstruction from Sparse DWIs

    Jun 24, 2026Junhyeok Lee, Kyu Sung ChoiIdentity-Conditioned Latent Diffusion ModelsSelf-Supervised Reconstruction Method

  49. Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis

    Jun 24, 2026Salman Shaik, Truong Thanh Hung Nguyen, Hung Cao3D Latent Diffusion ModelIdentity-Conditioned Latent Diffusion Models

  50. HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors

    Jun 24, 2026Hongli Xiao, Youjian Zhang, Qi Zheng +5Multi-View Diffusion ModelHigh-Fidelity

  51. Laplace-Fisher Gate Identities for Optimal Matrix-Gated Blended Score Estimation

    Jun 23, 2026Alois Duston, Tan Bui-ThanhBiasing Score EstimationIll-Posed Inverse Problem

  52. DiffusionBench: On Holistic Evaluation of Diffusion Transformers

    Jun 23, 2026Xingjian Leng, Jaskirat Singh, Zhanhao Liang +5Text-To-Image Diffusion ModelsMultimodal Diffusion Transformers

  53. High-Fidelity Synthetic Transmission Electron Microscopy Image Generation Using Diffusion Probabilistic Models for Data-Limited Semiconductor Metrology

    Jun 23, 2026Johannes Boehm, Bappaditya DeyMedical Image GenerationTransmission Electron Microscopy

  54. VSANet: View-aware Sparse Attention Network for Light Field Image Denoising

    Jun 23, 2026Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1Progressive Attention FusionImage Denoising

  55. Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generation

    Jun 23, 2026Shuai Zhang, Yancheng Chen, Chuan Zhou +5Autoregressive DiffusionAutoregressive Generation

  56. Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction

    Jun 23, 2026Antoine De Paepe, Alexandre Bousse, Dimitris VisvikisTomographyMulti-View

  57. TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration

    Jun 23, 2026Yang Zhou, Wenxue Li, Peng Zhang +3Photorealistic Video RestorationBlind Face Restoration

  58. Grounding Generative Policies in Physics: Optimization-Guided Diffusion for Robot Control

    Jun 23, 2026Sabrina Bodmer, René Zurbrügg, Tifanny Portela +5Diffusion PoliciesReward-Guided Diffusion

  59. Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms

    Jun 23, 2026Afifa Khaled, Said Jadid Abdulkadir, Majdy Mohamed Eltayeb EltahirVoxel3D Gaussian

  60. Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models

    Jun 22, 2026Rishabh Sharma, Stefano MartinianiImage DenoisingAttractors