Artificial Intelligence Medical Compendium

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

Showing 9,951 to 9,960 of 208,614 articles

Feedforward 3D Editing Learns from Semantic-Part Transformation

arXiv May 26, 2026
3D editing is a fundamental capability for scalable 3D content creation. While image editing has rapidly evolved toward large-scale feedforward generative paradigms, 3D AI generation remains dominated by training-free editing pipelines. A central cha... read more 
Computer Vision and Pattern Recognition

OmniGF: A Dual-Branch Vision-Language Framework for Unified Gaze Following

arXiv May 26, 2026
Understanding human gaze behavior is essential for complex scene comprehension and human-computer interaction. Traditional gaze following models are typically restricted to pure spatial localization, lacking the high-level capacity to reason about se... read more 
Computer Vision and Pattern Recognition

Confounder Detection via Treatment Intent: A New Observational Study Design

arXiv May 26, 2026
Understanding the effects of interventions is central to scientific progress, with randomized controlled trials (RCTs) regarded as the gold standard for causal inference in many applied fields. However, RCTs are costly, time-consuming, and often cons... read more 
Methodology cs.AI cs.LG stat.ML

HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection

arXiv May 26, 2026
The rapid evolution of generative models has precipitated a proliferation of fabricated content, posing significant challenges to existing Synthetic Image Detection (SID) methods. Capitalizing on advancements in vision-language models (e.g., CLIP), r... read more 
Computer Vision and Pattern Recognition

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis

arXiv May 26, 2026
Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and difficult to acquire at scale, motivating rest-to-task synthesis from widely available resting-state fMRI (rsfMRI). We propose FM-fMRI, an event-conditi... read more 
Machine Learning eess.IV

Underwater360: Reconstructing Underwater Scenes from Panoramic Images with Omnidirectional Gaussian Splatting

arXiv May 26, 2026
Underwater scene reconstruction is essential for immersive exploration of aquatic environments, yet remains challenging due to complex participating-media effects such as absorption and scattering, as well as the limited field of view (FoV) of conven... read more 
Computer Vision and Pattern Recognition

Cross-scale Aligned Supervision for Training GANs

arXiv May 26, 2026
Modern GANs often introduce adversarial supervision on intermediate generator outputs and interpret the resulting multi-stage synthesis as coarse-to-fine hierarchical generation. In this work, we challenge this interpretation. We argue that standard ... read more 
Computer Vision and Pattern Recognition cs.AI

AnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation

arXiv May 26, 2026
Multi-Modal Diffusion Transformers (MM-DiTs) encode rich representations for training-free concept grounding, but existing attention-based methods often produce overlapping activations on visually confusable concepts, a failure mode we call concept l... read more 
Computer Vision and Pattern Recognition cs.AI

Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection

arXiv May 26, 2026
Latent defect screening is challenged by extremely low failure rates, high-dimensional test data, and absence of labeled anomalies. We propose the first unsupervised anomaly detection framework incorporating a Diffusion Transformer. Raw test measurem... read more 
Machine Learning cs.AI

Triadic Dynamics Aware Diffusion Posterior Sampling for Inverse Problems: Optimizing Guidance and Stochasticity Schedules

arXiv May 26, 2026
Generative posterior sampling using diffusion models has emerged as a dominant paradigm for solving inverse problems in imaging, which usually consists of three main components: data consistency (DC) guidance, classifier-free guidance (CFG) and stoch... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals