Pseudo-Plane Regularized Signed Distance Field for Neural Indoor Scene Reconstruction

Pseudo-Plane Regularized Signed Distance Field for Neural Indoor Scene Reconstruction Academic Background 3D reconstruction of indoor scenes is a significant task in computer vision with broad applications, such as computer graphics and virtual reality. Traditional 3D reconstruction methods often rely on expensive 3D ground truth data. In recent ye...

Enhancing Aerial Object Detection with Selective Frequency Interaction Network

Selective Frequency Interaction Network for Improved Aerial Object Detection Background and Problem Statement With the advancements in computer vision, aerial object detection has become a critical research focus in remote sensing. This task aims to identify targets such as vehicles or buildings from aerial images captured at varying angles and alt...

StyleAdapter: A Unified Stylized Image Generation Model

StyleAdapter: A Unified Stylized Image Generation Model In recent years, advancements in text-to-image (T2I) generation and deep learning models have significantly driven progress in artificial intelligence for image generation. However, integrating specific styles from reference images into high-quality images generated from textual prompts remain...