Pacific Graphics 2020 - Symposium Proceedings
Proceedings published in 2020, Articles to be presented in 2021: Wellington, New Zealand

(for Short Papers, Posters, and Work-in-Progress Papers see PG 2020 - Short Papers, Posters, and Work-in-Progress Papers)


Geometry and Modeling
Memory-Efficient Bijective Parameterizations of Very-Large-Scale Models
Chunyang Ye, Jian-Ping Su, Ligang Liu, and Xiao-Ming Fu
Practical Fabrication of Discrete Chebyshev Nets
Hao-Yu Liu, Zhong-Yuan Liu, Zheng-Yu Zhao, Ligang Liu, and Xiao-Ming Fu
A Deep Residual Network for Geometric Decontouring
Zhongping Ji, Chengqin Zhou, Qiankan Zhang, Yu-Wei Zhang, and Wenping Wang
Robust Computation of 3D Apollonius Diagrams
Peihui Wang, Na Yuan, Yuewen Ma, Shiqing Xin, Ying He, Shuangmin Chen, Jian Xu, and Wenping Wang
Image-Driven Furniture Style for Interactive 3D Scene Modeling
Tomer Weiss, Ilkay Yildiz, Nitin Agarwal, Esra Ataer-Cansizoglu, and Jae-Woo Choi
Physics-based Material Animation
Adjustable Constrained Soft-Tissue Dynamics
Bohan Wang, Mianlun Zheng, and Jernej Barbic
Learning Elastic Constitutive Material and Damping Models
Bin Wang, Yuanmin Deng, Paul Kry, Uri Ascher, Hui Huang, and Baoquan Chen
Fracture Patterns Design for Anisotropic Models with the Material Point Method
Wei Cao, Luan Lyu, Xiaohua Ren, Bob Zhang, Zhixin Yang, and Enhua Wu
A Novel Plastic Phase-Field Method for Ductile Fracture with GPU Optimization
Zipeng Zhao, Kemeng Huang, Chen Li, Changbo Wang, and Hong Qin
Physics and Graphics
Simulation of Arbitrarily-shaped Magnetic Objects
Seung-wook Kim and JungHyun Han
Semi-analytical Solid Boundary Conditions for Free Surface Flows
Yue Chang, Shusen Liu, Xiaowei He, Sheng Li, and Guoping Wang
Cosserat Rod with rh-Adaptive Discretization
Jiahao Wen, Jiong Chen, Umetani Nobuyuki, Hujun Bao, and Jin Huang
Rendering
Fast Out-of-Core Octree Generation for Massive Point Clouds
Markus Schütz, Stefan Ohrhallinger, and Michael Wimmer
Real Time Multiscale Rendering of Dense Dynamic Stackings
Élie Michel and Tamy Boubekeur
Automatic Band-Limited Approximation of Shaders Using Mean-Variance Statistics in Clamped Domain
Shi Li, Rui Wang, Yuchi Huo, Wenting Zheng, Wei Hua, and Hujun Bao
Lights and Ray Tracing
Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering
Zilin Xu, Qiang Sun, Lu Wang, Yanning Xu, and Beibei Wang
Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation
Jerry Jinfeng Guo, Martin Eisemann, and Elmar Eisemann
Two-stage Resampling for Bidirectional Path Tracing with Multiple Light Sub-paths
Kosuke Nabata, Kei Iwasaki, and Yoshinori Dobashi
Materials and Shading Models
Computing the Bidirectional Scattering of a Microstructure Using Scalar Diffraction Theory and Path Tracing
Viggo Falster, Adrián Jarabo, and Jeppe Revall Frisvad
Procedural Physically based BRDF for Real-Time Rendering of Glints
Xavier Chermain, Basile Sauvage, Jean-Michel Dischler, and Carsten Dachsbacher
A Bayesian Inference Framework for Procedural Material Parameter Estimation
Yu Guo, Milos Hasan, Lingqi Yan, and Shuang Zhao
Recognition
SRF-Net: Spatial Relationship Feature Network for Tooth Point Cloud Classification
Qian Ma, Guangshun Wei, Yuanfeng Zhou, Xiao Pan, Shiqing Xin, and Wenping Wang
Semi-Supervised 3D Shape Recognition via Multimodal Deep Co-training
Mofei Song, Yu Liu, and Xiao Fan Liu
The Layerizing VoxPoint Annular Convolutional Network for 3D Shape Classification
Tong Wang, Wenyuan Tao, Chung-Ming Own, Xiantuo Lou, and Yuehua Zhao
SRNet: A 3D Scene Recognition Network using Static Graph and Dense Semantic Fusion
Zhaoxin Fan, Hongyan Liu, Jun He, Qi Sun, and Xiaoyong Du
A Graph-based One-Shot Learning Method for Point Cloud Recognition
Zhaoxin Fan, Hongyan Liu, Jun He, Qi Sun, and Xiaoyong Du
Human Pose
Human Pose Transfer by Adaptive Hierarchical Deformation
Jinsong Zhang, Xingzi Liu, and Kun Li
Personalized Hand Modeling from Multiple Postures with Multi-View Color Images
Yangang Wang, Ruting Rao, and Changqing Zou
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering
Min Wang, Feng Qiu, Wentao Liu, Chen Qian, Xiaowei Zhou, and Lizhuang Ma
PointSkelCNN: Deep Learning-Based 3D Human Skeleton Extraction from Point Clouds
Hongxing Qin, Songshan Zhang, Qihuang Liu, Li Chen, and Baoquan Chen
FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets
Tong Fu, Raphaelle Chaine, and Julie Digne
Tracking and Saliency
Learning Target-Adaptive Correlation Filters for Visual Tracking
Ying She, Yang Yi, and Jialiang Gu
An Occlusion-aware Edge-Based Method for Monocular 3D Object Tracking using Edge Confidence
Hong Huang, Fan Zhong, Yuqing Sun, and Xueying Qin
Coarse to Fine:Weak Feature Boosting Network for Salient Object Detection
Chenhao Zhang, Shanshan Gao, Xiao Pan, Yuting Wang, and Yuanfeng Zhou
Vision Meets Graphics
Generating High-quality Superpixels in Textured Images
Zhe Zhang, Panpan Xu, Jian Chang, Wencheng Wang, Chong Zhao, and Jian Jun Zhang
InstanceFusion: Real-time Instance-level 3D Reconstruction Using a Single RGBD Camera
Feixiang Lu, Haotian Peng, Hongyu Wu, Jun Yang, Xinhang Yang, Ruizhi Cao, Liangjun Zhang, Ruigang Yang, and Bin Zhou
Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images
Chengjie Niu, Yang Yu, Zhenwei Bian, Jun Li, and Kai Xu
Deep Separation of Direct and Global Components from a Single Photograph under Structured Lighting
Zhaoliang Duan, James Bieron, and Pieter Peers
Image Restoration
Pixel-wise Dense Detector for Image Inpainting
Ruisong Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, and Dong-Ming Yan
CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal
Ling Zhang, Chengjiang Long, Qingan Yan, Xiaolong Zhang, and Chunxia Xiao
Not All Areas Are Equal: A Novel Separation-Restoration-Fusion Network for Image Raindrop Removal
Dongdong Ren, Jinbao Li, Meng Han, and Minglei Shu
SCGA-Net: Skip Connections Global Attention Network for Image Restoration
Dongdong Ren, Jinbao Li, Meng Han, and Minglei Shu
Image Manipulation
Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEs
Yuki Endo and Yoshihiro Kanamori
Simultaneous Multi-Attribute Image-to-Image Translation Using Parallel Latent Transform Networks
Sen-Zhe Xu and Yu-Kun Lai
Interactive Design and Preview of Colored Snapshots of Indoor Scenes
Qiang Fu, Hai Yan, Hongbo Fu, and Xueming Li
A Multi-Person Selfie System via Augmented Reality
Jie Lin and Chuan-Kai Yang
Multi-scale Information Assembly for Image Matting
Yu Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, and Xiaopeng Wei
Stylized Graphics
StyleProp: Real-time Example-based Stylization of 3D Models
Filip Hauptfleisch, Ondrej Texler, Aneta Texler, Jaroslav Krivánek, and Daniel Sýkora
Two-stage Photograph Cartoonization via Line Tracing
Simin Li, Qiang Wen, Shuang Zhao, Zixun Sun, and Shengfeng He
Colorization of Line Drawings with Empty Pupils
Kenta Akita, Yuki Morimoto, and Reiji Tsuruno
Visualization and Interaction
RadEx: Integrated Visual Exploration of Multiparametric Studies for Radiomic Tumor Profiling
Eric Mörth, Kari Wagner-Larsen, Erlend Hodneland, Camilla Krakstad, Ingfrid S. Haldorsen, Stefan Bruckner, and Noeska N. Smit
Slice and Dice: A Physicalization Workflow for Anatomical Edutainment
Renata Georgia Raidou, Eduard Gröller, and Hsiang-Yun Wu
Visual Analytics in Dental Aesthetics
Aleksandr Amirkhanov, Matthias Bernhard, Alexey Karimov, Sabine Stiller, Andreas Geier, Eduard Gröller, and Gabriel Mistelbauer

Recent Submissions

  • Visual Analytics in Dental Aesthetics 

    Amirkhanov, Aleksandr; Bernhard, Matthias; Karimov, Alexey; Stiller, Sabine; Geier, Andreas; Gröller, Eduard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Dental healthcare increasingly employs computer-aided design software, to provide patients with high-quality dental prosthetic devices. In modern dental reconstruction, dental technicians address the unique anatomy of each ...
  • Slice and Dice: A Physicalization Workflow for Anatomical Edutainment 

    Raidou, Renata Georgia; Gröller, Eduard; Wu, Hsiang-Yun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    During the last decades, anatomy has become an interesting topic in education-even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications ...
  • RadEx: Integrated Visual Exploration of Multiparametric Studies for Radiomic Tumor Profiling 

    Mörth, Eric; Wagner-Larsen, Kari; Hodneland, Erlend; Krakstad, Camilla; Haldorsen, Ingfrid S.; Bruckner, Stefan; Smit, Noeska N. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Better understanding of the complex processes driving tumor growth and metastases is critical for developing targeted treatment strategies in cancer. Radiomics extracts large amounts of features from medical images which ...
  • Colorization of Line Drawings with Empty Pupils 

    Akita, Kenta; Morimoto, Yuki; Tsuruno, Reiji (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Many studies have recently applied deep learning to the automatic colorization of line drawings. However, it is difficult to paint empty pupils using existing methods because the convolutional neural network are trained ...
  • Two-stage Photograph Cartoonization via Line Tracing 

    Li, Simin; Wen, Qiang; Zhao, Shuang; Sun, Zixun; He, Shengfeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Cartoon is highly abstracted with clear edges, which makes it unique from the other art forms. In this paper, we focus on the essential cartoon factors of abstraction and edges, aiming to cartoonize real-world photographs ...
  • StyleProp: Real-time Example-based Stylization of 3D Models 

    Hauptfleisch, Filip; Texler, Ondrej; Texler, Aneta; Krivánek, Jaroslav; Sýkora, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a novel approach to the real-time non-photorealistic rendering of 3D models in which a single hand-drawn exemplar specifies its appearance. We employ guided patch-based synthesis to achieve high visual quality ...
  • Multi-scale Information Assembly for Image Matting 

    Qiao, Yu; Liu, Yuhao; Zhu, Qiang; Yang, Xin; Wang, Yuxin; Zhang, Qiang; Wei, Xiaopeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.We argue that the foreground objects can be represented by different-level ...
  • A Multi-Person Selfie System via Augmented Reality 

    Lin, Jie; Yang, Chuan-Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    The limited length of a selfie stick always poses the problem of distortion in a selfie, in spite of the prevalence of selfie stick in recent years.We propose a technique, based on modifying existing augmented reality ...
  • Interactive Design and Preview of Colored Snapshots of Indoor Scenes 

    Fu, Qiang; Yan, Hai; Fu, Hongbo; Li, Xueming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    This paper presents an interactive system for quickly designing and previewing colored snapshots of indoor scenes. Different from high-quality 3D indoor scene rendering, which often takes several minutes to render a ...
  • Simultaneous Multi-Attribute Image-to-Image Translation Using Parallel Latent Transform Networks 

    Xu, Sen-Zhe; Lai, Yu-Kun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Image-to-image translation has been widely studied. Since real-world images can often be described by multiple attributes, it is useful to manipulate them at the same time. However, most methods focus on transforming between ...
  • Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEs 

    Endo, Yuki; Kanamori, Yoshihiro (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Semantic image synthesis is a process for generating photorealistic images from a single semantic mask. To enrich the diversity of multimodal image synthesis, previous methods have controlled the global appearance of an ...
  • Not All Areas Are Equal: A Novel Separation-Restoration-Fusion Network for Image Raindrop Removal 

    Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Detecting and removing raindrops from an image while keeping the high quality of image details has attracted tremendous studies, but remains a challenging task due to the inhomogeneity of the degraded region and the ...
  • CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal 

    Zhang, Ling; Long, Chengjiang; Yan, Qingan; Zhang, Xiaolong; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we propose a novel context and lightness aware Generative Adversarial Network (CLA-GAN) framework for shadow removal, which refines a coarse result to a final shadow removal result in a coarse-to-fine fashion. ...
  • SCGA-Net: Skip Connections Global Attention Network for Image Restoration 

    Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Deep convolutional neural networks (DCNN) have shown their advantages in the image restoration tasks. But most existing DCNN-based methods still suffer from the residual corruptions and coarse textures. In this paper, we ...
  • Pixel-wise Dense Detector for Image Inpainting 

    Zhang, Ruisong; Quan, Weize; Wu, Baoyuan; Li, Zhifeng; Yan, Dong-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Recent GAN-based image inpainting approaches adopt an average strategy to discriminate the generated image and output a scalar, which inevitably lose the position information of visual artifacts. Moreover, the adversarial ...
  • Deep Separation of Direct and Global Components from a Single Photograph under Structured Lighting 

    Duan, Zhaoliang; Bieron, James; Peers, Pieter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a deep learning based solution for separating the direct and global light transport components from a single photograph captured under high frequency structured lighting with a co-axial projector-camera setup. ...
  • Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images 

    Niu, Chengjie; Yu, Yang; Bian, Zhenwei; Li, Jun; Xu, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In order for the deep learning models to truly understand the 2D images for 3D geometry recovery, we argue that singleview reconstruction should be learned in a part-aware and weakly supervised manner. Such models lead to ...
  • InstanceFusion: Real-time Instance-level 3D Reconstruction Using a Single RGBD Camera 

    Lu, Feixiang; Peng, Haotian; Wu, Hongyu; Yang, Jun; Yang, Xinhang; Cao, Ruizhi; Zhang, Liangjun; Yang, Ruigang; Zhou, Bin (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present InstanceFusion, a robust real-time system to detect, segment, and reconstruct instance-level 3D objects of indoor scenes with a hand-held RGBD camera. It combines the strengths of deep learning and traditional ...
  • Generating High-quality Superpixels in Textured Images 

    Zhang, Zhe; Xu, Panpan; Chang, Jian; Wang, Wencheng; Zhao, Chong; Zhang, Jian Jun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Superpixel segmentation is important for promoting various image processing tasks. However, existing methods still have difficulties in generating high-quality superpixels in textured images, because they cannot separate ...
  • Coarse to Fine:Weak Feature Boosting Network for Salient Object Detection 

    Zhang, Chenhao; Gao, Shanshan; Pan, Xiao; Wang, Yuting; Zhou, Yuanfeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Salient object detection is to identify objects or regions with maximum visual recognition in an image, which brings significant help and improvement to many computer visual processing tasks. Although lots of methods have ...

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