CVPR2025
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
Yiyang Shen, Kun Zhou, He Wang, Yin Yang, Tianjia Shao
摘要
Figure 1. GS-RGBN is an RGBN-volume Gaussian reconstruction model that generates high-quality 2D Gaussians (middle) using a single image (left). The textured meshes can be reconstructed from the generated 2D Gaussians optionally (right).