4 citations · 7 across the 9 of their papers we have counts for
6 papers · 1 filter
Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes
Yiyang Shen, Yin Yang, Kun Zhou +1
We introduce S2C-3D, a novel sparse-view 3D reconstruction framework for high-fidelity and complete scene reconstruction from as few as six to eight images. Our framework features…
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
Yiyang Shen, Kun Zhou, He Wang +2
Recently single-view 3D generation via Gaussian splatting has emerged and developed quickly. They learn 3D Gaussians from 2D RGB images generated from pre-trained multi-view diffus…
3DGS: Near Second-order Converging 3D Gaussian Splatting
Lei Lan, Tianjia Shao, Zixuan Lu +3
3D Gaussian Splatting (3DGS) has emerged as a mainstream solution for novel view synthesis and 3D reconstruction. By explicitly encoding a 3D scene using a collection of Gaussian k…
ARM: Appearance Reconstruction Model for Relightable 3D Generation
Xiang Feng, Chang Yu, Zoubin Bi +6
Recent image-to-3D reconstruction models have greatly advanced geometry generation, but they still struggle to faithfully generate realistic appearance. To address this, we introdu…
Interactive Rendering of Relightable and Animatable Gaussian Avatars
Youyi Zhan, Tianjia Shao, He Wang +2
Creating relightable and animatable avatars from multi-view or monocular videos is a challenging task for digital human creation and virtual reality applications. Previous methods…
RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting
Zhexi Peng, Tianjia Shao, Yong Liu +4
We present Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting. The system features a…