3 papers
cs.CV2025
StarryGazer: Leveraging Monocular Depth Estimation Models for Domain-Agnostic Single Depth Image Completion
Sangmin Hong, Suyoung Lee, Kyoung Mu Lee
The problem of depth completion involves predicting a dense depth image from a single sparse depth map and an RGB image. Unsupervised depth completion methods have been proposed fo…
cs.CV2025
Generating Accurate and Detailed Captions for High-Resolution Images
Hankyeol Lee, Gawon Seo, Kyounggyu Lee +3
Vision-language models (VLMs) often struggle to generate accurate and detailed captions for high-resolution images since they are typically pre-trained on low-resolution inputs (e.…
cs.CV2024
Text2CAD: Text to 3D CAD Generation via Technical Drawings
Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar +1
The generation of industrial Computer-Aided Design (CAD) models from user requests and specifications is crucial to enhancing efficiency in modern manufacturing. Traditional method…