18 citations · 33 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions
Jiale Xu, Xintao Wang, Yan-Pei Cao +3
Enhancing AI systems to perform tasks following human instructions can significantly boost productivity. In this paper, we present InstructP2P, an end-to-end framework for 3D shape…
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Views
Weihao Cheng, Yan-Pei Cao, Ying Shan
We study to generate novel views of indoor scenes given sparse input views. The challenge is to achieve both photorealism and view consistency. We present SparseGNV: a learning fra…