Plug-And-Play

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Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model
Aug 24, 2026Haley Duba-Sullivan, Patxi Fernandez-Zelaia, Obaidullah Rahman +1Cone-Beam Computed Tomography Diffusion Priors
Oak Ridge National Laboratory Oak Ridge, TN, USA
AMR-Pose: An Active LED Marker-Based Relative Pose Estimation Framework With Probabilistic Switching PnP for Cooperative AUVs
Aug 13, 2026Zeyu Sha, Xiaorui Wang, Mingyang Yang +1Autonomous Underwater Vehicles Category-Level Object Pose Estimation
Robotics and Control Laboratory, School of Advanced Manufacturing and Robotics, and the State Key Laboratory of Turbulence and Complex Systems, Peking University, Beijing, 100871, China
WRAP: Wasserstein-Robust Adaptive Plug-in for Robot Localization
Aug 10, 2026Minhyuk Jang, Astghik Hakobyan, Jungjin Lee +2Extended Kalman Filter Indoor Localization
Department of Mechanical Science and Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA · Center for Scientific Innovation and Education and the National Polytechnic University of Armenia, Yerevan, Armenia · Department of Electrical and Computer Engineering and Automation and Systems Research Institute, Seoul National University, Seoul, South Korea
Local Epistemic Uncertainty Guided Active Sampling for Plug-and-play Diffusive Image Restoration
Aug 7, 2026Jiaqi Zhang, Zheng Pang, Rongrong Gao +2Image Restoration Pixel-Level Prediction
Jiangsu University Zhenjiang, China · Xi’an University of Technology Xi’an, China
ModPack: An Extensible Teleoperation Interface for Bimanual Mobile Manipulation
Jul 21, 2026Joshua Citron, Renee Zbizika, Zeyi Liu +1Teleoperation Robotic Systems
Stanford University
NodeImport: Imbalanced Node Classification with Node Importance Assessment
Jul 15, 2026Nan Chen, Zemin Liu, Bryan Hooi +3Imbalanced Classification Graph Neural Networks
Johns Hopkins University Baltimore, Maryland, USA · Zhejiang University Hangzhou, Zhejiang, China · National University of Singapore Singapore, Singapore +1
Spatula: Exploring On-Demand In-Situ Interfaces and Interaction for Attribute Control
Jul 11, 2026Boyu Li, Linjie Qiu, Lin-Ping Yuan +4Generative User Interface Interactivity
The Hong Kong University of Science and Technology · The Hong Kong University of Science and Technology (Guangzhou) · University of Utah
Plug-and-Play Reweighting for Resilient Collaborative Decision-Making in Connected Autonomous Driving
Jul 10, 2026Jiewen Liu, Rui Liu, Matthew Lee +3Collaborative Perception Collision Avoidance
Department of Computer Science, North Carolina State University · Department of Computer Science, University of Maryland, College Park · University of North Carolina at Chapel Hill
Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
Jul 6, 2026Yu Li, Xiuyu Li, Mingyang Yi +4Reinforcement Learning Post-Training Plug-And-Play
Renmin University of China
Plug-and-Play Volumetric Reconstruction for Compressive Sensing Light-Sheet Microscopy
Jul 2, 2026Jianqing Jia, Yi Gong, Xinyuan Zhang +3Volumetric Video Image Reconstruction
School of Data and Information Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Mathematics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA +1
The Past Is Prologue: A Plug-in Controller for Selective Updates in Sequentially Evolving LLM Memory
Jun 30, 2026Zihan Chen, Songwei Dong, Chengshuai Shi +4Large Language Model Memory Plug-And-Play
University of Virginia · Princeton University · University of Central Florida
MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling
Jun 28, 2026Yizhe Yang, Palakorn Achananuparp, Heyan Huang +2Counseling Think
Beijing Institute of Technology · Singapore Management University · Australian National University
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 Reconstruction Posterior Sampling
Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine · Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital · Healthcare AI Research Institute, Seoul National University Hospital
Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction
Jun 23, 2026Antoine De Paepe, Alexandre Bousse, Dimitris VisvikisCone-Beam Computed Tomography Sparse-View
LaTIM, Inserm, UMR 1101, Université de Bretagne Occidentale, Brest, France
SpotAttention: Plug-In Block-Sparse Routing for Pretrained Long-Context Transformers
Jun 22, 2026Huzama Ahmad, Se-Young YunDynamic Sparse Attention Efficient Long-Context Inference
KAIST
Stereo Vision-Based Fall Prediction and Detection using Human Pose Estimation on the AMD Kria K26 SOM
Jun 10, 2026Shreyas Narasimhiah Ramesh, P. D. Rathika, Mahasweta Sarkar +3Robust Fall Detection Vision Sensors
Electrical and Computer Engineering, San Diego State University, 5500 Campanile Drive, San Diego, 92182-1309, California, USA · Department of Robotics and Automation Engineering, PSG College of Technology, Peelamedu, Coimbatore, 641004, Tamil Nadu, India · Psychology, San Diego State University, 5500 Campanile Drive, San Diego, 92182-4611, California, USA +1
Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation
Jun 7, 2026Hsin-Jui Pan, Sheng-Wei Chan, Chun-Po Shen +1Semantic Segmentation Receptive Fields
Department of Electrical and Computer Engineering, Tamkang University, New Taipei City, Taiwan
FlatVPR: Plug-and-play Geo-linear Residual Adapter for Geometric Rectification of Foundation Model Feature Manifolds
Jun 1, 2026Rai Hisada, Kanji TanakaVisual Place Recognition Rectification
Fundamental Engineering for Knowledge-Based Society, Graduate School of Engineering, University of Fukui, Japan.
DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark
May 28, 2026Ruofan Hu, Menghui Zhu, Jieming Zhu +8Multimodal Retrieval Multimodal Documents
Zhejiang University · Hangzhou, Zhejiang, China · Huawei Technologies Co., Ltd +2
S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields
May 28, 2026Deniz Sayin Mercadier, Federico Stella, Aurel Bizeau +2Continuous Distance Field Distance
CVLab, Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne, Switzerland
BrahmicTokenizer-131K: An Indic-Capable Drop-In Replacement for o200k_base
May 28, 2026Rohan ShravanByte-Pair Encoding Tokenizer
The School of AI India
A Simple Plug-in for Improving Eviction-Based KV Cache Compression
May 22, 2026Yuping Lin, Jiayuan Ding, Yue Xing +3Key-Value Cache Compression Eviction
1Michigan State University · 2Hippocratic AI
A plug-and-play generative framework for multi-satellite precipitation estimation
May 14, 2026Yunfan Yang, Haofei Sun, Xiuyu Sun +7Precipitation Nowcasting Satellite Data
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. · College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China. · Shanghai Academy of Artificial Intelligence for Science (SAIS), Shanghai, China. +5
Case Studies and Reflections on Agentic Software Engineering for Rapid Development of Digital Music Instruments
May 13, 2026Matthew John Yee-KingSoftware Plug-And-Play
Computing, Goldsmiths London, UK
SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems
May 13, 2026Hongji Pu, Xinyuan Song, Liang ZhaoReusable Agent Skills Unsupervised Skill Discovery
University of Illinois Urbana-Champaign · Emory University
GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
May 12, 2026Xiaosong Jia, Bowen Yang, Zuhao Ge +17Recent Vision-Language Models Guidance
Institute of Trustworthy Embodied AI (TEAI), Fudan University · 2Shanghai Key Laboratory of Multimodal Embodied AI · Shanghai Jiao Tong University +1
Output Composability of QLoRA PEFT Modules for Plug-and-Play Attribute-Controlled Text Generation
May 12, 2026Michela Lorandi, Anya BelzParameter-Efficient Fine-Tuning Methods Text Generation
ADAPT, Dublin City University Dublin, Ireland
Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
May 12, 2026Kenta Vert, Giacomo Meanti, Scott Pesme +2Iterative Denoising Methods Inverse Problem
1Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK · 2MaLGa Centre, DIBRIS, Università di Genova, MMS, Italian Institute of Technology, Genova, Italy
Learning plug-in surrogate endpoints for randomized experiments
May 12, 2026Alessandro-Umberto Margueritte, Ahmet Zahid Balcıoğlu, Jesse Krijthe +2Machine Learning Surrogates Surrogates
AstraZeneca · Chalmers University of Technology and University of Gothenburg · TU Delft +1
NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
May 11, 2026Hyundong Jin, Yo-Sub HanConstrained Decoding Large Language Model Generation
Yonsei University Seoul, Republic of Korea
FlowADMM: Plug-and-play ADMM with Flow-based Renoise-Denoise Priors
May 9, 2026Hendrik Sommerhoff, Michael MoellerBayesian Inverse Problems Iterative Denoising Methods
Computer Vision Group, University of Siegen Hölderlinstraße 3, 57076 Siegen, Germany
PersonaKit (PK): A Plug-and-Play Platform for User Testing Diverse Roles in Full-Duplex Dialogue
May 7, 2026Hyunbae Jeon, Jinho D. ChoiTurn-Taking Full-Duplex Speech Models
Department of Computer Science Emory University Atlanta, GA, USA
Plug-and-Play Label Map Diffusion for Universal Goal-Oriented Navigation
May 7, 2026Zhixuan Shen, Yijie Zeng, Shengxiang Luo +2Object Goal Navigation Semantic Mapping
School of Computing and Artificial Intelligence, Southwest Jiaotong University, China.
Plug-and-play Class-aware Knowledge Injection for Prompt Learning with Visual-Language Model
May 7, 2026Junhui Yin, Nan Pu, Xinyu Zhang +4Multiple Prompt Learning Frameworks Plug-And-Play
University of Science and Technology Beijing, China. · Hefei University of Technology, China. · University of Auckland, New Zealand. +3
DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models
Apr 27, 2026Dake Bu, Wei Huang, Andi Han +4Diffusion Language Models Order Matters
City University of Hong Kong · CFAR and IHPC, A*STAR · RIKEN AIP +4
Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion
Apr 27, 2026Zhongjie Duan, Hong Zhang, Yingda ChenDiffusion Models Plug-And-Play
ModelScope Team, Alibaba Group
Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing
Apr 27, 2026Kaisheng Fan, Weizhe Zhang, Yishu Gao +2Inference-Time Defense LLM Defense Mechanisms
School of Cyber Science and Technology Harbin Institute of Technology Harbin, China · Department of New Networks Peng Cheng Laboratory Shenzhen, China · SnT University of Luxembourg Luxembourg City, Luxembourg
AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation
Apr 27, 2026Kai Yang, Zedong Chu, Yingnan Guo +6Object Goal Navigation Vision-Language-Action Framework
1Amap, Alibaba Group, Beijing, China. · 2Beijing Jiaotong University, Beijing, China.
QuantClaw: Precision Where It Matters for OpenClaw
Apr 24, 2026Manyi Zhang, Ji-Fu Li, Zhongao Sun +5Openclaw Agentic Inference
Huawei Technologies · National University of Singapore · University of Science and Technology of China
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions
Apr 23, 2026Di Wu, Ling Liang, Haizhao YangBayesian Experimental Design Integral
Department of Mathematics The University of Tennessee, Knoxville TN 37916, USA · Department of Mathematics and Department of Computer Science University of Maryland, College Park MD 20742, USA
SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees
Apr 17, 2026Yi Xie, Yangyang Xu, Yi Fan +1Large Language Model Training Plug-And-Play
Department of Electrical & Computer Engineering, University of Arizona Tucson, Arizona, USA · Department of Mathematical Sciences, Rensselaer Polytechnic Institute Troy, New York, USA · Amazon Web Services New York, USA
A plug-and-play approach with fast uncertainty quantification for weak lensing mass mapping
Mar 23, 2026Hubert Leterme, Andreas Tersenov, Jalal Fadili +1Cosmology Astronomical Images
Université Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR 6072, F-14000 Caen, France · Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France · Institutes of Computer Science and Astrophysics, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece
A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization
May 2, 2025Tianshu Chu, Dachuan Xu, Wei Yao +2Bilevel Optimization Stochastic Optimization
Institute of Operations Research and Information Engineering, Beijing University of Technology · National Center for Applied Mathematics Shenzhen · National Center for Applied Mathematics Shenzhen, and Department of Mathematics, Southern University of Science and Technology +2

Aug 24, 2026, cs.CVJ/K move · Enter open · S save

Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model

Haley Duba-Sullivan, Patxi Fernandez-Zelaia, Obaidullah Rahman, Amirkoushyar Ziabari

Oak Ridge National Laboratory Oak Ridge, TN, USA

Cone-Beam Computed Tomography Diffusion Priors Multimodal Diffusion Models Diffusion Models Reuse Plug-And-Play+1

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Computed tomography (CT) throughput is limited by scan time, which grows with both the number of projections acquired and the detector integration time for each projection. Reconstructing high-quality volumes from sparse-view or low-dose measurements therefore depends on using an informative prior, typically a neural network trained for one specific scan setting and retrained whenever the modality, geometry, or material changes. We investigate whether a single diffusion model trained across several imaging domains can instead serve as a reusable prior for heterogeneous CT reconstruction problems. We evaluate the proposed method using the same diffusion visual transformer model and normalized denoising strength on three datasets that differ in modality, beam geometry, material, and degradation type, spanning additively manufactured metal parts and concrete microstructure imaged with cone-bean X-ray CT and parallel-beam neutron CT respectively. The proposed method improves upon analytic reconstructions in all three cases, demonstrating transferability across the evaluated problems and providing a step toward a reusable foundation prior for heterogeneous CT reconstruction.

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Latest papers 43