Artificial Intelligence Medical Compendium

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

Showing 40,431 to 40,440 of 223,737 articles

Rethinking MLLM Itself as a Segmenter with a Single Segmentation Token

arXiv Mar 19, 2026
Recent segmentation methods leveraging Multi-modal Large Language Models (MLLMs) have shown reliable object-level segmentation and enhanced spatial perception. However, almost all previous methods predominantly rely on specialist mask decoders to int... read more 
Computer Vision and Pattern Recognition

FUMO: Prior-Modulated Diffusion for Single Image Reflection Removal

arXiv Mar 19, 2026
Single image reflection removal (SIRR) is challenging in real scenes, where reflection strength varies spatially and reflection patterns are tightly entangled with transmission structures. This paper presents a diffusion model with prior modulation f... read more 
Computer Vision and Pattern Recognition

SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation

arXiv Mar 19, 2026
Realistic and efficient 3D garment generation remains a longstanding challenge in computer vision and digital fashion. Existing methods typically rely on large vision- language models to produce serialized representations of 2D sewing patterns, which... read more 
Computer Vision and Pattern Recognition cs.GR

CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization

arXiv Mar 19, 2026
The creation of high-fidelity, customizable 3D indoor scene textures remains a significant challenge. While text-driven methods offer flexibility, they lack the precision for fine-grained, instance-level control, and often produce textures with insuf... read more 
Computer Vision and Pattern Recognition cs.AI

CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization

arXiv Mar 19, 2026
The creation of high-fidelity, customizable 3D indoor scene textures remains a significant challenge. While text-driven methods offer flexibility, they lack the precision for fine-grained, instance-level control, and often produce textures with insuf... read more 
Computer Vision and Pattern Recognition cs.AI

Revisiting Autoregressive Models for Generative Image Classification

arXiv Mar 19, 2026
Class-conditional generative models have emerged as accurate and robust classifiers, with diffusion models demonstrating clear advantages over other visual generative paradigms, including autoregressive (AR) models. In this work, we revisit visual AR... read more 
Computer Vision and Pattern Recognition

SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data

arXiv Mar 19, 2026
In recent years, machine learning models have been increasingly applied to spectroscopic datasets for chemical and biomedical analysis. For their successful adoption, particularly in clinical and safety-critical settings, professionals and researcher... read more 
Machine Learning

Fast and Effective Computation of Generalized Symmetric Matrix Factorization

arXiv Mar 19, 2026
In this paper, we study a nonconvex, nonsmooth, and non-Lipschitz generalized symmetric matrix factorization model that unifies a broad class of matrix factorization formulations arising in machine learning, image science, engineering, and related ar... read more 
Optimization and Control cs.LG

ADAPT: Attention Driven Adaptive Prompt Scheduling and InTerpolating Orthogonal Complements for Rare Concepts Generation

arXiv Mar 19, 2026
Generating rare compositional concepts in text-to-image synthesis remains a challenge for diffusion models, particularly for attributes that are uncommon in the training data. While recent approaches, such as R2F, address this challenge by utilizing ... read more 
Computer Vision and Pattern Recognition

Adaptive Auxiliary Prompt Blending for Target-Faithful Diffusion Generation

arXiv Mar 19, 2026
Diffusion-based text-to-image (T2I) models have made remarkable progress in generating photorealistic and semantically rich images. However, when the target concepts lie in low-density regions of the training distribution, these models often produce ... read more 
Computer Vision and Pattern Recognition
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