Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,671 to 2,680 of 202,598 articles

Deep Learning-based 3D Oral Cavity Reconstruction Using 2D Intraoral Images

arXiv Jun 4, 2026
Oral 3D modelling is one of the most essential stages in dentistry, and many different approaches, such as impression taking and intraoral scanning, are commonly used for this phase, each with notable limitations. Impression taking, which involves pl... read more 
Computer Vision and Pattern Recognition cs.AI

ATT-CR: Adaptive Triangular Transformer for Cloud Removal

arXiv Jun 4, 2026
Cloud removal aims to accurately reconstruct the ground objects obscured by clouds in remote sensing images. Existing Transformer-based methods utilizing self-attention have shown impressive results by effectively modeling long-range dependencies in ... read more 
Computer Vision and Pattern Recognition cs.AI

Global-Local Monte Carlo Tree Search in Vision-Language Models for Text-to-3D Indoor Scene Generation

arXiv Jun 4, 2026
Large Vision-Language Models have achieved significant reasoning performance in various tasks. However, there are few studies on text-to-3D indoor scene generation with LVLMs. The main challenge is that prevailing LVLM-based methods employ chain-of-t... read more 
Computer Vision and Pattern Recognition

Diffusion Models for Adaptive Sequential Data Generation

arXiv Jun 4, 2026
Generating realistic synthetic sequential data is critical in real-world applications across operations research, finance, healthcare, energy systems, and scientific computing, where time-indexed observations are used for prediction, simulation, risk... read more 
Machine Learning

ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition

arXiv Jun 4, 2026
To address the limited diversity and data scarcity in Pedestrian Attribute Recognition (PAR), we explore image synthesis using diffusion models guided by attribute-based prompts. While this enables the controlled generation of pedestrian images, it f... read more 
Computer Vision and Pattern Recognition

Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction

arXiv Jun 4, 2026
Cone-beam computed tomography (CBCT) frequently suffers from data truncation, which introduces severe artifacts and limits the effective field of view (FOV). Existing deep learning methods for truncated cone-beam computed tomography (CBCT) reconstruc... read more 
Computer Vision and Pattern Recognition

LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing

arXiv Jun 4, 2026
Developing unified video generation and editing models capable of interpreting interleaved multimodal inputs is a promising yet challenging frontier field. Existing unified frameworks predominantly rely on massive models (typically 13B parameters or ... read more 
Computer Vision and Pattern Recognition

LLM-Conditioned Synthesis of Pathological Gaits via Structured Gait-Language Representations

arXiv Jun 4, 2026
Pathological gait datasets remain scarce due to privacy, recruitment, cost, and movement variability. Our work presents a multimodal LLM-guided framework for pathology-aware 3D gait data synthesis from structured textual descriptions. The proposed me... read more 
Computer Vision and Pattern Recognition

MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction Following

arXiv Jun 4, 2026
Reinforcement learning with verifiable rewards is ideal for multi-constraint instruction following, yet standard group-relative policy optimization (GRPO) becomes unstable under discrete, low-dispersion rewards, where within-group reward distribution... read more 
Machine Learning cs.AI cs.CL

ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE

arXiv Jun 4, 2026
Modern diffusion models generate high-quality images and videos, but their iterative denoising process makes inference expensive. Feature caching accelerates sampling by reusing or predicting intermediate activations across neighboring denoising step... read more 
Computer Vision and Pattern Recognition
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