8 citations · 11 across the 5 of their papers we have counts for
5 papers
FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis
Yan Xing, Pan Wang, Ligang Liu +2
We present a novel framework, called FrameNeRF, designed to apply off-the-shelf fast high-fidelity NeRF models with fast training speed and high rendering quality for few-shot nove…
HeadNeRF: A Real-time NeRF-based Parametric Head Model
Yang Hong, Bo Peng, Haiyao Xiao +2
In this paper, we propose HeadNeRF, a novel NeRF-based parametric head model that integrates the neural radiance field to the parametric representation of the human head. It can re…
Fast color transfer from multiple images
Asad Khan, Luo Jiang, Wei Li +1
Color transfer between images uses the statistics information of image effectively. We present a novel approach of local color transfer between images based on the simple statistic…
Digital Makeup from Internet Images
Asad Khan, Muhammad Ahmad, Yudong Guo +1
We present a novel approach of color transfer between images by exploring their high-level semantic information. First, we set up a database which consists of the collection of dow…
A Perceptual Aesthetics Measure for 3D Shapes
Kapil Dev, Manfred Lau, Ligang Liu
While the problem of image aesthetics has been well explored, the study of 3D shape aesthetics has focused on specific manually defined features. In this paper, we learn an aesthet…