Artificial Intelligence Medical Compendium

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

Showing 28,941 to 28,950 of 219,647 articles

MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation

arXiv Apr 21, 2026
Recent advances in Diffusion Transformers (DiTs) have enabled high-quality joint audio-video generation, producing videos with synchronized audio within a single model. However, existing controllable generation frameworks are typically restricted to ... read more 
Computer Vision and Pattern Recognition

IR-Flow: Bridging Discriminative and Generative Image Restoration via Rectified Flow

arXiv Apr 21, 2026
In image restoration, single-step discriminative mappings often lack fine details via expectation learning, whereas generative paradigms suffer from inefficient multi-step sampling and noise-residual coupling. To address this dilemma, we propose IR-F... read more 
Computer Vision and Pattern Recognition

Unveiling Fine-Grained Visual Traces: Evaluating Multimodal Interleaved Reasoning Chains in Multimodal STEM Tasks

arXiv Apr 21, 2026
Multimodal large language models (MLLMs) have shown promising reasoning abilities, yet evaluating their performance in specialized domains remains challenging. STEM reasoning is a particularly valuable testbed because it provides highly verifiable fe... read more 
Computer Vision and Pattern Recognition

Face Anything: 4D Face Reconstruction from Any Image Sequence

arXiv Apr 21, 2026
Accurate reconstruction and tracking of dynamic human faces from image sequences is challenging because non-rigid deformations, expression changes, and viewpoint variations occur simultaneously, creating significant ambiguity in geometry and correspo... read more 
Computer Vision and Pattern Recognition

ReImagine: Rethinking Controllable High-Quality Human Video Generation via Image-First Synthesis

arXiv Apr 21, 2026
Human video generation remains challenging due to the difficulty of jointly modeling human appearance, motion, and camera viewpoint under limited multi-view data. Existing methods often address these factors separately, resulting in limited controlla... read more 
Computer Vision and Pattern Recognition

Adaptive MSD-Splitting: Enhancing C4.5 and Random Forests for Skewed Continuous Attributes

arXiv Apr 21, 2026
The discretization of continuous numerical attributes remains a persistent computational bottleneck in the induction of decision trees, particularly as dataset dimensions scale. Building upon the recently proposed MSD-Splitting technique -- which bin... read more 
Machine Learning cs.AI

Generative Drifting for Conditional Medical Image Generation

arXiv Apr 21, 2026
Conditional medical image generation plays an important role in many clinically relevant imaging tasks. However, existing methods still face a fundamental challenge in balancing inference efficiency, patient-specific fidelity, and distribution-level ... read more 
Computer Vision and Pattern Recognition

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation

arXiv Apr 21, 2026
We address the problem of generating a 3D-consistent, navigable environment that is spatially grounded: a simulation of a real location. Existing video generative models can produce a plausible sequence that is consistent with a text (T2V) or image (... read more 
Computer Vision and Pattern Recognition

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items

arXiv Apr 21, 2026
Recent advances in image generation and editing have opened new opportunities for virtual try-on. However, existing methods still struggle to meet complex real-world demands. We present Tstars-Tryon 1.0, a commercial-scale virtual try-on system that ... read more 
Computer Vision and Pattern Recognition

Wan-Image: Pushing the Boundaries of Generative Visual Intelligence

arXiv Apr 21, 2026
We present Wan-Image, a unified visual generation system explicitly engineered to paradigm-shift image generation models from casual synthesizers into professional-grade productivity tools. While contemporary diffusion models excel at aesthetic gener... read more 
Computer Vision and Pattern Recognition
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