45 citations · 128 across the 7 of their papers we have counts for
7 papers
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…
AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph
Xin Chen, Yuwei Li, Xi Luo +4
This paper presents a fully automatic framework for extracting editable 3D objects directly from a single photograph. Unlike previous methods which recover either depth maps, point…
DeepSketchHair: Deep Sketch-based 3D Hair Modeling
Yuefan Shen, Changgeng Zhang, Hongbo Fu +2
We present sketchhair, a deep learning based tool for interactive modeling of 3D hair from 2D sketches. Given a 3D bust model as reference, our sketching system takes as input a us…
CaricatureShop: Personalized and Photorealistic Caricature Sketching
Xiaoguang Han, Kangcheng Hou, Dong Du +4
In this paper, we propose the first sketching system for interactively personalized and photorealistic face caricaturing. Input an image of a human face, the users can create caric…
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
Tianjia Shao, Yin Yang, Yanlin Weng +2
We present a novel spatial hashing based data structure to facilitate 3D shape analysis using convolutional neural networks (CNNs). Our method well utilizes the sparse occupancy of…
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…