43 citations · 57 across the 8 of their papers we have counts for
8 papers
A Real-time Method for Inserting Virtual Objects into Neural Radiance Fields
Keyang Ye, Hongzhi Wu, Xin Tong +1
We present the first real-time method for inserting a rigid virtual object into a neural radiance field, which produces realistic lighting and shadowing effects, as well as allows…
Relighting Neural Radiance Fields with Shadow and Highlight Hints
Chong Zeng, Guojun Chen, Yue Dong +3
This paper presents a novel neural implicit radiance representation for free viewpoint relighting from a small set of unstructured photographs of an object lit by a moving point li…
Learning Photometric Feature Transform for Free-form Object Scan
Xiang Feng, Kaizhang Kang, Fan Pei +5
We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invaria…
Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts
Xiaohe Ma, Yaxin Yu, Hongzhi Wu +1
We present a novel framework to efficiently acquire near-planar anisotropic reflectance in a pixel-independent fashion, using a deep gated mixtureof-experts. While existing work em…
DiFT: Differentiable Differential Feature Transform for Multi-View Stereo
Kaizhang Kang, Chong Zeng, Hongzhi Wu +1
We present a novel framework to automatically learn to transform the differential cues from a stack of images densely captured with a rotational motion into spatially discriminativ…
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Guangming Yao, Hongzhi Wu, Yi Yuan +3
In this paper, we present a novel double diffusion based neural radiance field, dubbed DD-NeRF, to reconstruct human body geometry and render the human body appearance in novel vie…
Learning Efficient Photometric Feature Transform for Multi-view Stereo
Kaizhang Kang, Cihui Xie, Ruisheng Zhu +4
We present a novel framework to learn to convert the perpixel photometric information at each view into spatially distinctive and view-invariant low-level features, which can be pl…
Intrinsic Light Field Images
Elena Garces, Jose I. Echevarria, Wen Zhang +3
We present a method to automatically decompose a light field into its intrinsic shading and albedo components. Contrary to previous work targeted to 2D single images and videos, a…