3D Gaussian Splatting (3DGS) has made a significant stride in novel view synthesis,
demonstrating top-notch rendering quality while achieving real-time rendering speed …

We propose NeRF-Insert, a NeRF editing framework that allows users to make high-quality
local edits with a flexible level of control. Unlike previous work that relied on image-to-image …

The semantically interactive radiance field has always been an appealing task for its
potential to facilitate user-friendly and automated real-world 3D scene understanding …

Neural Radiance Fields (NeRF) have quickly become the primary approach for 3D
reconstruction and novel view synthesis in recent years due to their remarkable …

This study explores the utilization of Neural Radiance Fields (NeRFs), with a specific focus
on the Instant NeRFs technique. The objective is to represent three-dimensional (3D) …

Interactive segmentation of 3D Gaussians opens a great opportunity for real-time
manipulation of 3D scenes thanks to the real-time rendering capability of 3D Gaussian …

3D (Three-Dimensional) scene inpainting aims to remove objects from scenes and generate
visually plausible regions to fill the hollows. Leveraging the foundation of NeRF (Neural …

Neural Radiance Fields (NeRFs) have become a powerful tool for modeling 3D scenes from
multiple images. However, NeRFs remain difficult to segment into semantically meaningful …

Recent advancements in 3D reconstruction technologies have paved the way for high-
quality and real-time rendering of complex 3D scenes. Despite these achievements, a …

Unveiling an empty street from crowded observations captured by in-car cameras is crucial
for autonomous driving. However, removing all temporary static objects, such as stopped …