18 citations · 42 across the 9 of their papers we have counts for
4 papers · 2 filters
Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views
Zi-Xin Zou, Weihao Cheng, Yan-Pei Cao +3
Reconstructing 3D objects from extremely sparse views is a long-standing and challenging problem. While recent techniques employ image diffusion models for generating plausible ima…
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…
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
Weihao Cheng, Yan-Pei Cao, Ying Shan
Given sparse views of a 3D object, estimating their camera poses is a long-standing and intractable problem. Toward this goal, we consider harnessing the pre-trained diffusion mode…
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…