Artificial Intelligence Medical Compendium

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

Showing 11,811 to 11,820 of 210,187 articles

Look Both Ways Before You Cross: Lifting Cross Fields From 2D Visual Priors

arXiv
We present CrossLift, a technique for computing cross fields on meshes guided by visual features in images. We leverage powerful text-to-image priors that are capable of synthesizing images of feature-aligned quad meshes in 2D. We extract this signal... read more 

Paris 2.0: A Decentralized Diffusion Model for Video Generation

arXiv
We present Paris 2.0, the first video generation model pre-trained through decentralized computation. Its training recipe builds upon Paris 1.0 (arXiv:2510.03434), the first ever open-weight Decentralized Diffusion Model (DDM), which showed that imag... read more 

DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking

arXiv
Frontier LLMs now perform strongly across a wide range of physics evaluations, but it is hard to disentangle genuine reasoning from recall of established science. We introduce DiscoverPhysics, an interactive benchmark that asks a LLM agent to discove... read more 

Channel-wise Vector Quantization

arXiv
We present Channel-wise Vector Quantization (CVQ), a novel image tokenization paradigm that replaces patch-wise tokens with channel-wise tokens. Unlike conventional vector quantization, which assigns a discrete token to each patch feature vector, CVQ... read more 

Pixel-Level Pavement Distress Assessment Using Instance Segmentation

arXiv
Automated pavement distress assessment requires more than image-level classification or coarse bounding box detection, demanding precise localization of thin, branching, and irregular cracks to achieve the geometric precision necessary for maintenanc... read more 

Global Structure-from-Motion Meets Feedforward Reconstruction

arXiv
Structure-from-Motion -- the process of simultaneously estimating camera poses and 3D scene structure from a collection of images -- remains a central challenge in computer vision, with many open problems yet to be solved. Recent advances in feedforw... read more 

Global Structure-from-Motion Meets Feedforward Reconstruction

arXiv
Structure-from-Motion -- the process of simultaneously estimating camera poses and 3D scene structure from a collection of images -- remains a central challenge in computer vision, with many open problems yet to be solved. Recent advances in feedforw... read more 

Reinforcing Few-step Generators via Reward-Tilted Distribution Matching

arXiv
Recent advances in few-step diffusion distillation have enabled efficient image generation, yet aligning these models with human preferences remains challenging. We propose Reward-Tilted Distribution Matching Distillation (RTDMD), a two-stage framewo... read more 

Helix4D: Complex 4D Mesh Generation

arXiv
Current video-to-4D methods struggle with complex topology changes, transparent materials, thin structures, and inner surfaces. We present Helix4D, a dynamic mesh generation framework by inheriting the expressive representation of Trellis2, adapting ... read more 

Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation

arXiv
Subject-driven image generation aims to synthesize new images that preserve the identity of the given subject while following textual instructions. Existing approaches often encode text and reference images separately. This limits cross-modal reasoni... read more