Sketch-based shape modeling aims to bridge the gap between 2D drawing an...
In the process of product design and digital fabrication, the structural...
We present a novel freehand sketch beautification method, which takes as...
The last few decades have witnessed an emerging trend of wearable soft
s...
Recent methods for synthesizing 3D-aware face images have achieved rapid...
We propose LiDAL, a novel active learning method for 3D LiDAR semantic
s...
Restricted by the limited interaction area of native AR glasses (e.g., t...
High-fidelity 3D scene reconstruction from monocular videos continues to...
Multiple sketch datasets have been proposed to understand how people dra...
Undoubtedly, high-fidelity 3D hair plays an indispensable role in digita...
Videos are accessible media for analyzing sports postures and providing
...
LiDAR and camera are two important sensors for 3D object detection in
au...
In this paper, we present NeuralReshaper, a novel method for semantic
re...
The research topic of sketch-to-portrait generation has witnessed a boos...
Recent deep generative models allow real-time generation of hair images ...
Image-guided drawing can compensate for the lack of skills but often req...
In this paper, we present GCN-Denoiser, a novel feature-preserving mesh
...
In this work, we propose UPDesc, an unsupervised method to learn point
d...
Head shapes play an important role in 3D character design. In this work,...
In recent years, sparse voxel-based methods have become the state-of-the...
Recent facial image synthesis methods have been mainly based on conditio...
Removing outlier correspondences is one of the critical steps for succes...
In this paper, we propose a scale-aware method for inserting virtual obj...
Semantic segmentation and semantic edge detection can be seen as two dua...
Recent deep image-to-image translation techniques allow fast generation ...
We propose a new method for realistic human motion transfer using a
gene...
In this work, we propose an end-to-end framework to learn local multi-vi...
A successful point cloud registration often lies on robust establishment...
We introduce SketchGCN, a graph convolutional neural network for semanti...
In this paper, we study the problem of multi-view sketch correspondence,...
We present sketchhair, a deep learning based tool for interactive modeli...
3D shape analysis is an important research topic in computer vision and
...
In this paper, we present DEMC, a deep Dual-Encoder network to remove Mo...
Freehand sketching is a dynamic process where points are sequentially sa...
We introduce LUCSS, a language-based system for interactive col- orizati...
We present a simple and efficient method based on deep learning to
autom...
Inspired by the recent advance of image-based object reconstruction usin...
In recent years consumer-level depth sensors have been adopted in variou...
Color theme or color palette can deeply influence the quality and the fe...
We present a multi-scale approach to sketch-based shape retrieval. It is...