18 citations · 42 across the 9 of their papers we have counts for
4 papers · 2 filters
NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
Lingen Li, Zhaoyang Zhang, Yaowei Li +7
Recent advancements in generative models have significantly improved novel view synthesis (NVS) from multi-view data. However, existing methods depend on external multi-view alignm…
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model
Jinpeng Liu, Jiale Xu, Weihao Cheng +4
We introduce NovelGS, a diffusion model for Gaussian Splatting (GS) given sparse-view images. Recent works leverage feed-forward networks to generate pixel-aligned Gaussians, which…
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Jiale Xu, Weihao Cheng, Yiming Gao +3
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalabil…
Advances in 3D Generation: A Survey
Xiaoyu Li, Qi Zhang, Di Kang +7
Generating 3D models lies at the core of computer graphics and has been the focus of decades of research. With the emergence of advanced neural representations and generative model…