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Online Event Wellington, New Zealand

October 18 – 21, 2021

General Co-Chairs

Taehyun Rhee, Victoria University of Wellington Shi-Min Hu, Tsinghua University

Holly Rushmeier, Yale University

Program Co-Chairs

Fang-Lue Zhang, Victoria University of Wellington Elmar Eisemann, Delft University of Technology

Karan Singh, University of Toronto

Conference Paper Co-Chairs Sung-Hee Lee, KAIST

Stefanie Zollmann, University of Otago Makoto Okabe, Shizuoka University Burkhard Wünsche, The University of Auckland

Local Co-Chairs

Alex Doronin, Victoria University of Wellington Neil Dodgson, Victoria University of Wellington Andrew Chalmers, Victoria University of Wellington

DOI: 10.1111/cgf.14422 https://www.eg.org https://diglib.eg.org

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Sponsors

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Preface

The 28th and 29th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 20+21) are jointly hosted in Wellington, New Zealand. As a highly successful conference series, Pacific Graphics provides a premium forum for researchers, developers, and practitioners from around the world in com- puter graphics and related areas. The 2021 call for papers also changed the submission procedure and a call for Journal and Conference papers was released to further enrich the program. The joint PG 20+21 conference is a great platform for celebrating recent research achievements and, unifying years of con- tents, offers a very large selection of top contributions. Due to the world-wide travel restrictions during the COVID-19 pandemic, the conference is held fully online.

Pacific Graphics 2021 received 81 valid full paper submissions for the journal track. With the help of 76 international experts in our Program Committee and 71 external reviewers, we were able to evaluate each submission in a rigorous review process. By matching the paper research topics with the expertise and preferences of committee members, the program co-chairs assigned one primary and two secondary reviewers from the Program Committee to each paper. In case additional expertise was required, the primary reviewer could invite additional external reviewers. After the first cycle review, the authors could provide their rebuttal to address the major concerns from all the reviewers. The primary led a post-rebuttal discussion phase to form the senior recommendation based on a consensus among the reviewers, during which the reviewers were also asked to consider potential ethical issues that they could raise to the chairs, which were escalated to the steering committee when needed. Conditionally accepted full/short papers underwent a second review cycle by the primary reviewer to include the revisions required in the review summary.

Out of 81 journal track submissions, 26 full papers (acceptance rate: 32.1%) were finally accepted. All the full papers are published in the special issue of Computer Graphics Forum. There are eight more papers, which were referred to the regular submission process of Computer Graphics Forum due to required major revisions. The conference track is an important part of the conference technical program, including short papers, work-in-progress papers and poster papers. Three journal track submissions were instead accepted as conference short papers. All accepted conference track papers are invited to be presented at PG20+21 and published electronically through the EG Digital Library.

We would like to thank all the people that generously offered their time and energy to contribute to the review process and a successful technical programme of PG2021, including the authors of all submitted papers, the members of PG2021 Program Committees, and all the external reviewers. We also thank Stefanie Behnke for her handling and setup of the submission system, Bedrich Benes for his support regarding the reviewing schedule and for handling the referrals to CGF, Marc Stamminger for his help regarding the conference management and communication with EG. Finally, we would like to thank the Pacific Graphics Steering Committee for their great support.

Program Co-Chairs Elmar Eisemann Karan Singh Fang-Lue Zhang

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International Program Committee

Mridul Aanjaneya (Rutgers) Noam Aigerman (Adobe) Yagiz Aksoy (SFU)

Rahul Arora (University of Toronto) Christopher Batty (University of Waterloo) Bedrich Benes (Purdue)

Mikhail Bessmeltsev (University de Montreal) Tamy Boubekeur (Telecom Paristech)

Byungkuk Choi (Weta Digital)

Yoshinori Dobashi (Hokkaido University) Haekwang Eom (Weta Digital)

Hongbo Fu (City University of Hong Kong, China) Lin Gao (Institute of Computing, CAS)

Ioannis Gkioulekas (CMU) Enrico Gobbetti (CRS4)

Xianfeng Gu (Stony Brook University) Min H. Kim (KAIST)

Vastimil Havran (CTU Prague) Philipp Herholz (ETH Zurich) Stefan Jeschke (NVIDIA) Joaquim Jorge (Uni. Lisboa) Anton Kaplanyan (Oculus) Jiri Kosinka (Groningen) Yukun Lai (Cardiff University) Yoonsang Lee (Hanyang University)

Wen-Chieh Lin (National Chiao Tung University) Tiantian Liu (MSRA)

Hsueh-Ti Liu (University of Toronto) Yong-Jin Liu (Tsinghua University) Shaoping Lu (Nankai University) Lin Lu (Shandong University)

Kwan-Liu Ma (University of California at Davis, USA) Pooran Memari (CNRS)

Jean Michel Dischler (Univ. Strasbourg) Karol Myszkowski (MPI for Informatics)

Rahul Narain (Indian Institute of Technology Delhi) Junyong Noh (KAIST)

Miguel Otaduy (URJC Madrid) Anjul Patney (NVIDIA)

Fabio Pellacini (Sapienza University of Rome) Tiberiu Popa (Concordia)

Hong Qin (Stony Brook University) Christian Roessl (Uni Magdeburg)

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International Program Committee

Craig Schroeder (University of California at Riverside) Eston Schweickart (Weta Digital)

Alla Sheffer (University of British Columbia, Canada) Gurprit Singh (MPI for Informatics)

Melina Skouras (Inria)

Philipp Slusallek (Saarland University) Cyril Soler (Inria)

Marc Stamminger (Univ. of Erlangen) Markus Steinberger (TU Graz)

Kartic Subr (Edinburgh) Shinjiro Sueda (Texas A&M) Jianchao Tan (Kwai)

Min Tang (Zhejiang University) Marco Tarini (Univ. Milano / CNR) Holger Theisel (Univ. of Magdeburg) Amir Vaxman (Utrecht University) Etienne Vouga (UT Austin)

Wenping Wang (The University of Hong Kong) Jue Wang (Megvii)

Rui Wang (University of Massachusetts) Miao Wang (Beihang University)

Tien-Tsin Wong (The Chinese University of Hong Kong) Hongzhi Wu (Zhejiang University)

Chris Wyman (NVIDIA Research) Chunxia Xiao (Wuhan University)

Kai Xu (National University of Defense Technology) Lingqi Yan (UCSB)

Sung-Eui Yoon (KAIST)

Lei Zhang (Beijing Institute of Technology)

Yun Zhang (Communication University of Zhejiang) Bo Zhu (Dartmouth College)

Zhe Zhu (Duke University) Changqing Zou (UMIACS)

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External Reviewers

Alldieck, Thiemo Ashtari, Amirsaman Bi, Sai

Bommes, David Bousseau, Adrien Bruckner, Stefan Cao, Ying

Cherchi, Gianmarco Deng, Yu

Dong, Yue

Dvoroznak, Marek Frey, Steffen Froehlich, Bernd Frühstück, Anna Gautron, Pascal Grosset, Pascal Gruson, Adrien Guo, Jie

Habib, Rubaiat Hädrich, Torsten Han, Daseong He, Shengfeng Hu, Xiaowei Huang, Ruqi Huang, Xiaolei

Iglesias-Guitian, Jose A.

Iwasaki, Kei Kagami, Shingo Kelly, Tom Kim, Byungsoo

Kohlbrenner, Maximilian Krishna Reddy, Mahesh Kumar Kwon, Taesoo

Le, Binh

Leimkuehler, Thomas Li, Kun

Li, Xiaoyu Lin, I-Chen Liu, Yang Luan, Fujun Lun, Zhaoliang Maciel, Anderson Masia, Belen Mo, Haoran

Mouscadet, Benjamin Paquette, Eric

Pereira, João Madeiras Rosin, Paul

Santesteban, Igor Sauvage, Basile Sintorn, Erik Song, Dan Soomin, Kim Texler, Ondˇrej Trnkova, Maria van Toll, Wouter Vining, Nicholas Wan, Liang Wang, Meili Wang, Xiaogang Wei, Li-Yi Wei, Mingqiang Wolper, Joshuah Xi, Junhua Xu, Kun Xue, Tao Yang, Jie Zhang, Juyong Zhang, Rui-Si Zhong, Rui Zhuang, Yixin

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Author Index

Aanjaneya, Mridul . . . 97

Arleo, Alessio . . . 241

Bai, Junxuan . . . 71

Borowski, Judy . . . 253

Cao, Ruizhi . . . 1

Cao, Yan-Pei . . . 217

Chen, Luanmin . . . 265

Chen, Minchan . . . 229

Cheng, Zhanglin . . . 289

Choi, Hajin . . . 121

Collon, Pauline . . . 277

Curtis, Cassidy . . . 21

Dai, Ju . . . 71

Doi, Kohei . . . 11

Dong, Bo . . . 181

Eisemann, Elmar . . . 109, 141 Endo, Yuki . . . 205

Galin, Eric . . . 277

Gao, Chengying . . . 1

Guérin, Eric . . . 277

Guo, Jerry Jinfeng . . . 109

Han, Chengguizi . . . 97

Hasani, Ramin . . . 253

Havran, Vlastimil . . . 161

He, Zhenbang . . . 289

Hu, Ruizhen . . . 265

Hua, Binh-Son . . . 131

Huang, Haibin . . . 265

Huang, Hui . . . 265

Huang, Ze-Huan . . . 217

Jiang, Yuntao . . . 85

Jung, Sunjin . . . 45

Kán, Peter . . . 241

Kanamori, Yoshihiro . . . 205

Kelly, Tom . . . 193

Kerbl, Bernhard . . . 57

Kikuchi, Kotaro . . . 33

Kim, Dongjoon . . . 149

Kim, Seonghyeon . . . 45

Knecht, Wolfgang . . . 241

Kye, Heewon . . . 149

Lan, Yingjie . . . 85

Lau, Manfred . . . 229

Lechner, Mathias . . . 253

Liu, Ligang . . . 173

Liu, Wentao . . . 181

Long, Chengjiang . . . 181

Meister, Daniel . . . 131

Mo, Haoran . . . 1

Moon, Bochang . . . 121

Morimoto, Yuki . . . 11

Mukherjee, Sabyasachi . . . 131

Mukherjee, Sayan . . . 131

Noh, Junyong . . . 45

Otani, Mayu . . . 33

Pan, Junjun . . . 71

Paris, Axel . . . 277

Pernsteiner, Jakob . . . 57

Peytavie, Adrien . . . 277

Platkeviˇc, Adam . . . 21

Ribera, Roger Blanco i . . . 45

Ruit, Mark van de . . . 141

Seo, Kwanggyoon . . . 45

Shen, Pengfei . . . 173

Shen, Zhi-Meng . . . 217

Sietzen, Stefan . . . 253

Simo-Serra, Edgar . . . 33

Sloup, Jaroslav . . . 161

Sorger, Johannes . . . 241

Sýkora, Daniel . . . 21

Tajima, Daichi . . . 205

Tsuruno, Reiji . . . 11

Umetani, Nobuyuki . . . 131

Unterguggenberger, Johannes . . . 57

Waldner, Manuela . . . 241, 253 Wan, Pengfei . . . 217

Wang, Beibei . . . 173

Wang, Chuan . . . 265

Wang, Miao . . . 217

Wang, Siyuan . . . 71

Wang, Yunhai . . . 289

Wimmer, Michael . . . 57

Xiao, Chunxia . . . 181

Xu, Juzhan . . . 265

Xu, Xiang . . . 217

Xue, Tao . . . 97

Yamaguchi, Kota . . . 33

Yu, Hanning . . . 181

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Author Index

Zhang, Jia-Qi . . . 217

Zhao, Yang . . . 217

Zhu, Jialin . . . 193

Zhuang, Tao . . . 173

Zou, Qin . . . 181

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TABLE OF CONTENTS Stylization and Layout

Line Art Colorization Based on Explicit Region Segmentation Ruizhi Cao, Haoran Mo, and Chengying Gao

1

Global Illumination-Aware Stylised Shading Kohei Doi, Yuki Morimoto, and Reiji Tsuruno

11

Fluidymation: Stylizing Animations Using Natural Dynamics of Artistic Media Adam Platkeviˇc, Cassidy Curtis, and Daniel Sýkora

21

Modeling Visual Containment for Web Page Layout Optimization Kotaro Kikuchi, Mayu Otani, Kota Yamaguchi, and Edgar Simo-Serra

33

Animation

Deep Learning-Based Unsupervised Human Facial Retargeting

Seonghyeon Kim, Sunjin Jung, Kwanggyoon Seo, Roger Blanco i Ribera, and Junyong Noh

45

Conservative Meshlet Bounds for Robust Culling of Skinned Meshes

Johannes Unterguggenberger, Bernhard Kerbl, Jakob Pernsteiner, and Michael Wimmer

57

Diverse Dance Synthesis via Keyframes with Transformer Controllers Junjun Pan, Siyuan Wang, Junxuan Bai, and Ju Dai

71

A Dynamic Mixture Model for Non-equilibrium Multiphase Fluids Yuntao Jiang and Yingjie Lan

85

A Lagrangian Particle-based Formulation for Coupled Simulation of Fracture and Diffusion in Thin Membranes

Chengguizi Han, Tao Xue, and Mridul Aanjaneya

97

Global Illumination

Geometric Sample Reweighting for Monte Carlo Integration Jerry Jinfeng Guo and Elmar Eisemann

109

Consistent Post-Reconstruction for Progressive Photon Mapping Hajin Choi and Bochang Moon

121

Neural Sequence Transformation

Sabyasachi Mukherjee, Sayan Mukherjee, Binh-Son Hua, Nobuyuki Umetani, and Daniel Meister

131

A Multi-pass Method for Accelerated Spectral Sampling Mark van de Ruit and Elmar Eisemann

141

Real-Time Rendering

Z-Thickness Blending: Effective Fragment Merging for Multi-Fragment Rendering Dongjoon Kim and Heewon Kye

149

Optimizing Ray Tracing of Trimmed NURBS Surfaces on the GPU Jaroslav Sloup and Vlastimil Havran

161

Real-time Denoising Using BRDF Pre-integration Factorization Tao Zhuang, Pengfei Shen, Beibei Wang, and Ligang Liu

173

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TABLE OF CONTENTS Image Synthesis and Enhancement

Luminance Attentive Networks for HDR Image and Panorama Reconstruction Hanning Yu, Wentao Liu, Chengjiang Long, Bo Dong, Qin Zou, and Chunxia Xiao

181

Seamless Satellite-image Synthesis Jialin Zhu and Tom Kelly

193

Relighting Humans in the Wild: Monocular Full-Body Human Relighting with Domain Adap- tation

Daichi Tajima, Yoshihiro Kanamori, and Yuki Endo

205

Interaction and Interfaces

Write-An-Animation: High-level Text-based Animation Editing with Character-Scene Inter- action

Jia-Qi Zhang, Xiang Xu, Zhi-Meng Shen, Ze-Huan Huang, Yang Zhao, Yan-Pei Cao, Pengfei Wan, and Miao Wang

217

A Motion-guided Interface for Modeling 3D Multi-functional Furniture Minchan Chen and Manfred Lau

229

Egocentric Network Exploration for Immersive Analytics

Johannes Sorger, Alessio Arleo, Peter Kán, Wolfgang Knecht, and Manuela Waldner

241

Interactive Analysis of CNN Robustness

Stefan Sietzen, Mathias Lechner, Judy Borowski, Ramin Hasani, and Manuela Waldner

253

Modelling

UprightRL: Upright Orientation Estimation of 3D Shapes via Reinforcement Learning Luanmin Chen, Juzhan Xu, Chuan Wang, Haibin Huang, Hui Huang, and Ruizhen Hu

265

Synthesizing Geologically Coherent Cave Networks

Axel Paris, Eric Guérin, Adrien Peytavie, Pauline Collon, and Eric Galin

277

Manhattan-world Urban Building Reconstruction by Fitting Cubes Zhenbang He, Yunhai Wang, and Zhanglin Cheng

289

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Invited Talk

Creative AI: Turning 3D Virtual Worlds into Experimental Testbeds for Scientists Marie-Paule Cani

Abstract

Visual representations are essential in science, as they facilitate intuition and ease communication. While the 2D sketches used for centuries recently evolved into 3D contents, the latter are generally not responsive: they do not allow scientists to interact with their models, change hypotheses on the fly and experiment their effects. In this talk, we explore the use of smart 3D environments as visual testbeds in science. We show that a combination of efficient procedural models expressing knowledge, expressive sculpting or sketching interfaces, and learning mechanisms, can help to reach this goal. We illustrate this through a variety of examples, from sculpting eroding mountains that express geological knowledge to helping prehistorians explore past ecosystems with flora and animated fauna.

Short Biography

Marie-Paule Cani is a Professor of Computer Science at Ecole Polytechnique (IP-Paris, France). Her research fo- cuses on shape modelling and animation, with contributions to implicit surfaces, adaptive simulation methods and interactive natural scenes. She developed expressive ways to create them by combining sketching interfaces with models based on knowledge and learning. She received the Eurographics outstanding technical contributions award in 2011, was Siggraph Technical Papers Chair in 2017, joined the Siggraph Academy in 2019 and the French Academy of Sciences in 2020.

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Invited Talk AI for Perceiving Humans

Jan Kautz

Abstract

Perceiving humans, such as their pose, gaze, etc., of great interest for many practical applications, including human- machine interaction, activity recognition, video analytics, visual effects, gaming, and any other application involving humans in the scenes. I’ll present a our work focusing on a detailed understanding of the human body from monoc- ular RGB images. Specifically, I’ll present deep learning methods for body pose estimation, hand pose estimation, fiducial landmark detection, and eye gaze estimation and redirection. We’ll show how deep learning models can be made robust to face challenges posed by real-world scenarios and address the problem of data scarcity for training these methods.

Short Biography

Jan Kautz is VP of Learning and Perception Research at NVIDIA. Jan and his team pursue fundamental research in the areas of computer vision and deep learning, including visual perception, geometric vision, generative models, and efficient deep learning. Their work has been awarded various awards and has been regularly featured in the media. Before joining NVIDIA in 2013, Jan was a tenured faculty member at University College London. He holds an undergraduate degree in Computer Science (Universität Erlangen-Nürnberg), an MMath (University of Waterloo), a PhD degree (Max-Planck-Institut für Informatik), and worked as a post-doctoral researcher at the Massachusetts Institute of Technology.

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Invited Talk Facing the Future

Mark Sagar

Abstract

Creating intelligent and emotive interactive computer generated humans and characters capable of face to face interactions involves drawing on multiple disciplines.

Mark has been developing technology for digital faces for over twenty years (and counting). This talk will touch on some of the key factors in his journey.

Short Biography

Double Academy Award winner Dr. Mark Sagar is the Co-Founder and CEO of Soul Machines and director of the Laboratory for Animate Technologies at the Auckland Bioengineering Institute.

Mark and his team are bringing technology to life, pioneering the creation of autonomously animated virtual humans with virtual brains and nervous systems, capable of highly expressive face to face interaction and real-time learning and emotional response, to create the next generation of human interaction with artificial intelligence.

Mark has a Ph.D. in Engineering from the University of Auckland, and was a post-doctoral fellow at M.I.T. He previously worked as the Special Projects Supervisor at Weta Digital and Sony Pictures Imageworks and developed technology for the digital characters in blockbusters such Avatar, King Kong, and Spiderman 2. His pioneering work in computer-generated faces was recognized with two consecutive Scientific and Engineering Oscars in 2010 and 2011.

Mark was elected as a fellow of the Royal Society of New Zealand in 2019.

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