activity
20152023
most citedJSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

134 citations · 513 across the 41 of their papers we have counts for

collaborators
Showing cs.GRShow all

14 papers · 1 filter

cs.GR2022★ 2 cited

NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields

Kaiwen Jiang, Shu-Yu Chen, Feng-Lin Liu +2

Recent methods for synthesizing 3D-aware face images have achieved rapid development thanks to neural radiance fields, allowing for high quality and fast inference speed. However,…

cs.GR2022★ 1 cited

NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations

Keyu Wu, Yifan Ye, Lingchen Yang +3

Undoubtedly, high-fidelity 3D hair plays an indispensable role in digital humans. However, existing monocular hair modeling methods are either tricky to deploy in digital systems (…

cs.GR2022★ 1 cited

DrawingInStyles: Portrait Image Generation and Editing with Spatially Conditioned StyleGAN

Wanchao Su, Hui Ye, Shu-Yu Chen +2

The research topic of sketch-to-portrait generation has witnessed a boost of progress with deep learning techniques. The recently proposed StyleGAN architectures achieve state-of-t…

cs.GR2021

Autocomplete Repetitive Stroking with Image Guidance

Yilan Chen, Kin Chung Kwan, Li-Yi Wei +1

Image-guided drawing can compensate for the lack of skills but often requires a significant number of repetitive strokes to create textures. Existing automatic stroke synthesis met…

cs.GR2021★ 60 cited

GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks

Yuefan Shen, Hongbo Fu, Zhongshuo Du +5

In this paper, we present GCN-Denoiser, a novel feature-preserving mesh denoising method based on graph convolutional networks (GCNs). Unlike previous learning-based mesh denoising…

cs.GR2021★ 12 cited

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control

Shu-Yu Chen, Feng-Lin Liu, Yu-Kun Lai +4

Recent facial image synthesis methods have been mainly based on conditional generative models. Sketch-based conditions can effectively describe the geometry of faces, including the…

cs.GR2020★ 4 cited

Deep Generation of Face Images from Sketches

Shu-Yu Chen, Wanchao Su, Lin Gao +2

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiri…

cs.GR2020★ 21 cited

Human Motion Transfer with 3D Constraints and Detail Enhancement

Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang +4

We propose a new method for realistic human motion transfer using a generative adversarial network (GAN), which generates a motion video of a target character imitating actions of…

cs.GR2019★ 45 cited

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…

cs.GR2019★ 4 cited

Mesh Variational Autoencoders with Edge Contraction Pooling

Yu-Jie Yuan, Yu-Kun Lai, Jie Yang +2

3D shape analysis is an important research topic in computer vision and graphics. While existing methods have generalized image-based deep learning to meshes using graph-based conv…

cs.GR2018★ 1 cited

Fast Sketch Segmentation and Labeling with Deep Learning

Lei Li, Hongbo Fu, Chiew-Lan Tai

We present a simple and efficient method based on deep learning to automatically decompose sketched objects into semantically valid parts. We train a deep neural network to transfe…

cs.GR2018★ 20 cited

Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling

Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1

This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…

cs.GR2017★ 18 cited

Temporal Upsampling of Depth Maps Using a Hybrid Camera

Ming-Ze Yuan, Lin Gao, Hongbo Fu +1

In recent years, consumer-level depth cameras have been adopted for various applications. However, they often produce depth maps at only a moderately high frame rate (approximately…

cs.GR2015★ 2 cited

Sketch-based Shape Retrieval using Pyramid-of-Parts

Changqing Zou, Zhe Huang, Rynson W. H. Lau +2

We present a multi-scale approach to sketch-based shape retrieval. It is based on a novel multi-scale shape descriptor called Pyramidof- Parts, which encodes the features and spati…