Artificial Intelligence Medical Compendium

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

Showing 55,291 to 55,300 of 226,647 articles

Progressive Checkerboards for Autoregressive Multiscale Image Generation

arXiv Feb 3, 2026
A key challenge in autoregressive image generation is to efficiently sample independent locations in parallel, while still modeling mutual dependencies with serial conditioning. Some recent works have addressed this by conditioning between scales in ... read more 
Computer Vision and Pattern Recognition

Continuous Control of Editing Models via Adaptive-Origin Guidance

arXiv Feb 3, 2026
Diffusion-based editing models have emerged as a powerful tool for semantic image and video manipulation. However, existing models lack a mechanism for smoothly controlling the intensity of text-guided edits. In standard text-conditioned generation, ... read more 
Computer Vision and Pattern Recognition cs.GR

PrevizWhiz: Combining Rough 3D Scenes and 2D Video to Guide Generative Video Previsualization

arXiv Feb 3, 2026
In pre-production, filmmakers and 3D animation experts must rapidly prototype ideas to explore a film's possibilities before fullscale production, yet conventional approaches involve trade-offs in efficiency and expressiveness. Hand-drawn storyboards... read more 
Human-Computer Interaction cs.AI cs.CV

Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detection

arXiv Feb 2, 2026
In multimodal misinformation, deception usually arises not just from pixel-level manipulations in an image, but from the semantic and contextual claim jointly expressed by the image-text pair. Yet most deepfake detectors, engineered to detect pixel-l... read more 
Computer Vision and Pattern Recognition

Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling

arXiv Feb 2, 2026
Recent works have explored reference-based super-resolution (RefSR) to mitigate hallucinations in diffusion-based image restoration. A key challenge is that real-world degradations make correspondences between low-quality (LQ) inputs and reference (R... read more 
Computer Vision and Pattern Recognition

ProxyImg: Towards Highly-Controllable Image Representation via Hierarchical Disentangled Proxy Embedding

arXiv Feb 2, 2026
Prevailing image representation methods, including explicit representations such as raster images and Gaussian primitives, as well as implicit representations such as latent images, either suffer from representation redundancy that leads to heavy man... read more 
Computer Vision and Pattern Recognition

Learning Sparse Visual Representations via Spatial-Semantic Factorization

arXiv Feb 2, 2026
Self-supervised learning (SSL) faces a fundamental conflict between semantic understanding and image reconstruction. High-level semantic SSL (e.g., DINO) relies on global tokens that are forced to be location-invariant for augmentation alignment, a p... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

DSXFormer: Dual-Pooling Spectral Squeeze-Expansion and Dynamic Context Attention Transformer for Hyperspectral Image Classification

arXiv Feb 2, 2026
Hyperspectral image classification (HSIC) is a challenging task due to high spectral dimensionality, complex spectral-spatial correlations, and limited labeled training samples. Although transformer-based models have shown strong potential for HSIC, ... read more 
Computer Vision and Pattern Recognition cs.AI

Bayesian Integration of Nonlinear Incomplete Clinical Data

arXiv Feb 2, 2026
Multimodal clinical data are characterized by high dimensionality, heterogeneous representations, and structured missingness, posing significant challenges for predictive modeling, data integration, and interpretability. We propose BIONIC (Bayesian I... read more 
Machine Learning cs.CY

LIEREx: Language-Image Embeddings for Robotic Exploration

arXiv Feb 2, 2026
Semantic maps allow a robot to reason about its surroundings to fulfill tasks such as navigating known environments, finding specific objects, and exploring unmapped areas. Traditional mapping approaches provide accurate geometric representations but... read more 
Robotics cs.CV
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