BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Australia/Melbourne X-LIC-LOCATION:Australia/Melbourne BEGIN:DAYLIGHT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 TZNAME:AEDT DTSTART:19721003T020000 RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:STANDARD DTSTART:19721003T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260114T163813Z LOCATION:Exhibition Hall 1\, Level 2 (Exhibition Centre) DTSTART;TZID=Australia/Melbourne:20231213T110000 DTEND;TZID=Australia/Melbourne:20231213T173000 UID:siggraphasia_SIGGRAPH Asia 2023_sess202@linklings.com SUMMARY:Posters Gallery DESCRIPTION:The Posters program provides an interactive forum for innovati ve ideas that are not yet fully polished, for high-impact practical contri butions, for behind-the-scenes views of new commercial and artistic work, and for solutions that help solve challenging problems. It is a cooperativ e setting where students, researchers, artists, enthusiasts, and industry veterans come together to present their research, art, and ideas to the gl obal CG industry and encourage feedback on recently completed work or tent ative new approaches.\nThese ideas are put together into simple, visually attractive posters showcased at SIGGRAPH Asia. Posters’ authors will also be present to explain their findings, discuss their work, receive feedback and network with all attendees.\n\nDeep Albedo: A Machine Learning Approa ch to Real-Time Photo Realistic Human Skin Rendering and Editing Using Aut oencoders\n\nWe demonstrate an efficient technique to model skin color cha nges\nof a human face due to aging and changing of emotions by variation\n of the spatially dependent biophysical properties of skin.\n\n\nJoel Johns on (University of British Columbia, Huawei); Kenneth Chau (University of B ritish Columbia); and Wei Sen Loi, Abraham Beauferris, Swati Kanwal, and Y ingqian Gu (Huawei)\n---------------------\nIgnis: Eulerian Fluid Simulati on and Rendering at VR Frame Rates\n\nIgnis is a GPU Eulerian fluid solver which utilises an approximate shadowing technique and an adaptive ditheri ng technique to simulate and render at VR resolutions and refresh rates.\n \n\nCharlie Shenton (RMIT University, CSIRO)\n---------------------\nGaze and Graze: Illuminating Taiwanese Hand Puppet Character Display and Decons tructing Visual Engagement\n\nTaiwanese Puppetry, deeply rooted in culture , gains significance in this study through gaze interaction. Using Tobii N ano and Unity, we reinterpret traditional art with eye-tracking for a more profound experience.\n\n\nYun-Ju Chen (National Taipei University of Busi ness) and Tsuei-Ju Hsieh (National Tsing Hua University)\n---------------- -----\nAvatars for Good Drinking: An Exploratory Study of The Effects of A vatar’s Body Shape on Beverage Perception\n\nIn a virtual environment, we studied how avatar body shape impacts beverage perception. Gradual body tr ansitions improved body ownership, and larger avatars enhanced purchase in tention.\n\n\nYusuke Koseki, Yusuke Arikawa, Kizashi Nakano, and Takuji Na rumi (University of Tokyo)\n---------------------\nAerial Display Method U sing a Flying Screen with an IR Marker and Long Range Dynamic Projection M apping\n\nWe have studied a projection-based aerial display method. In thi s poster, we propose a new IR marker for precise screen tracking and a lon g-range projection principle using high brightness projector.\n\n\nYuito H irohashi and Hiromasa Oku (Gunma University)\n---------------------\nGeome try Aware Texturing\n\nGiven a mesh of the outfit and a text prompt, our m ethod is capable of producing high-quality diffuse texture in around 6 sec onds running on a single A40 GPU.\n\n\nEvgeniia Cheskidova, Alexander Arga naidi, Daniel-Ionut Rancea, and Olaf Haag (Ready Player Me)\n------------- --------\nThe Effect of Wearing Knee Supporters on the Applicable Gain of Redirected Walking\n\nWe investigated the effect of knee supporters on the applicable gain of redirected walking. As a result, it was indicated that knee supporters can influence the applicable gain.\n\n\nGaku Fukui, Takut o Nakamura, Keigo Matsumoto, Takuji Narumi, and Hideaki Kuzuoka (Universit y of Tokyo)\n---------------------\nInteractive Relative Pose Estimation f or 360° Indoor Panoramas through Wall-Wall Matching Selections\n\nAn open- source panoramic relative camera pose estimation method that works well fo r difficult wide-baseline problems by taking a hybrid approach that levera ges neural network estimations and key user inputs.\n\n\nBoSheng Chen and ChiHan Peng (National Yang Ming Chiao Tung University)\n------------------ ---\nDigital Transformation of Ethnic Dance Heritage: A Multimodal Interac tive Game to Balancing Instructional and Cultural Essence\n\nWe have emplo yed a multimodal interactive approach to create an educational game for e thnic dances, thereby enhancing players' motion instruction and cultural e xperience in the process of dance .\n\n\nMingyang Su, Yun Xie, FeiFei Wu, Ke Fang, XiaoMei Nie, and Xiu Li (Tsinghua University)\n------------------ ---\n3D Lighter: Learning to Generate Emissive Textures\n\nWe generate emi ssive textures by learning luminous 3D models.\n\n\nYosuke Shinya, Kenichi Yoneji, and Akihiro Tsukada (DENSO CORPORATION) and Tatsuya Harada (The U niversity of Tokyo, RIKEN)\n---------------------\nasmVR: VR-Based ASMR Ex perience with Multimodal Triggers for Mental Well-Being\n\nasmVR enhances users' ASMR tingling sensation with multi-modal triggers, immersive VR env ironments, and remote ASMRist embodiments. Initial tests show heightened t ingles, stress relief, and therapeutic VR potential.\n\n\nDanyang Peng, Ta nner Person, Ruoxin Cui, Mark Armstrong, Kouta Minamizawa, and Yun Suen Pa i (Keio University Graduate School of Media Design)\n--------------------- \nSomatic Music: Enhancing Musical Experiences through the Performer’s Emb odiment\n\nThis study explores musicians' unique musicality using physical data, enhancing music appreciation through tactile stimulation and vibrat ion, redefining music experiences.\n\n\nAoi Uyama, Youichi Kamiyama, Sohei Wakisaka, Arata Horie, Tatsuya Saito, and Kouta Minamizawa (Keio Universi ty Graduate School of Media Design)\n---------------------\nFlying Over To urist Attractions: A Novel Augmented Reality Tourism System Using Miniatur e Dioramas\n\nNovel AR tourism system that leverages miniature dioramas to provide \nusers with a unique and immersive experience that creates the \ nsensation of soaring high above and exploring a tourist attraction\n\n\nS uwon Lee, Sanghyeon Kim, and Seongwon Kim (Gyeongsang National University) ; Hyunwoo Cho (University of South Australia); and Sang-Min Choi (Gyeongsa ng National University)\n---------------------\nDatamoshing with Optical F low\n\nWe propose a method for data moshing using optical flow. Our algori thm can be used to create perplexing video transitions and seamless loopin g videos.\n\n\nChris Careaga, Mahesh Kumar Krishna Reddy, and Yağız Aksoy (Simon Fraser University)\n---------------------\nMeta Musicking: A Playgr ound for Exploring Alternative Realities with Others in the XR Age\n\nA re mote, multi-participant XR audiovisual art experience combining haptic, au ditory, and visual elements. Participants can interact with the hand avata rs of other remote participants through musical expression in their space. \n\n\nRyu Nakagawa, Masaya Furukawa, Ayano Yamanaka, and Maika Yamamoto (N agoya City University)\n---------------------\nQuantifying display lag and its effects during Head-Mounted Display based Virtual Reality\n\nVirtual reality immersion relies heavily on scene fidelity and spatiotemporal cons istency during dynamic human behaviour. However, head-mounted displays hav e restrained computational resources to prolong user experience. #sub-fram e rate lag estimation.\n\n\nPeter Wagner and Juno Kim (University of New S outh Wales, School of Optometry and Vision Science, Sensory Processes Rese arch Laboratory); Robert S. Allison (Dept. of Electrical Engineering and C omputer Science, York University); and Stephen Palmisano (School of Psycho logy, University of Wollongong)\n---------------------\nFoodMorph: Changin g Food Appearance Towards Less Unhealthy Food Intake\n\nThe VR system Food morph allows users to immerse themselves in inedible, visually simulated f ood textures, reducing their interest and intake of unhealthy foods and pr omoting healthy eating.\n\n\nRuoxin Cui, Weijen Chen, Danyang Peng, Kouta Minamizawa, and Yun Suen Pai (Keio University Graduate School of Media Des ign)\n---------------------\nLearning to Generate Wire Sculpture Art from 3D Models\n\nOur goal is to create a 3D wire sculpture that preserves the volume of the original 3D shape given a user-specified template to the pr oposed curve generation network.\n\n\nHuiGuang Huang, Dong-Yi Wu, Thi-Ngoc -Hanh Le, and Po-Chih Chen (National Cheng-Kung University); Shih-Syun Lin (National Taiwan Ocean University); and Tong-Yee Lee (National Cheng-Kung University)\n---------------------\nClosest Point Exterior Calculus\n\nWe combine the Closest Point Method with Discrete Exterior Calculus to obtai n a geometry processing framework allowing implicit representation of gene ral calculus expressions.\n\n\nMica Li, Michael Owens, Juheng Wu, Grace Ya ng, and Albert Chern (University of California San Diego)\n--------------- ------\nLandmark Guided 4D Facial Expression Generation\n\nIn this paper, we proposed a generative model that learns to synthesize 4D face expressio n with given landmarks. It is robust to the change of different identities .\n\n\nXin Lu and Zhengda Lu (University of Chinese Academy of Sciences), Yiqun Wang (Chongqing University), and Jun Xiao (University of Chinese Aca demy of Sciences)\n---------------------\nAugmentation of Medical Preparat ion for Children by Using Projective and Tangible Interface\n\nThis resear ch aims to create interactive experiences that alleviate anxiety of pediat ric patients and cause empathy within their family and medical community. We developed the medical preparation system through the integration of p rojective and tangible interfaces. Children can intuitively underst...\n\n \nMIki Monzen (Graduate School of Image Arts, Ritsumeikan University) and Shigenori Mochizuki and Toshikazu Ohshima (College of Image Arts and Scien ces, Ritsumeikan University)\n---------------------\nExploring Embodiment and Usability of Autonomous Prosthetic Limbs through Virtual Reality\n\nWe propose the utilization of full-body motion capture and immersive virtual reality to explore the sense of embodiment, usability, and user percepti on associated with autonomous prosthetic limbs.\n\n\nHarin Hapuarachchi (T oyohashi University of Technology), Yasuyuki Inoue (Toyama Prefectural Uni versity), and Michiteru Kitazaki (Toyohashi University of Technology)\n--- ------------------\nRecovering Detailed Neural Implicit Surfaces from Blur ry Images\n\nWe propose a method to recover surface details from blurry im ages by transforming input features using a blur kernel and simulating mot ion blur through weighted averaging.\n\n\nZihui Xu and Yiqun Wang (Chongqi ng University) and Zhengda Lu and Jun Xiao (University of Chinese Academy of Sciences)\n---------------------\nText-driven Tree Modeling on L-System \n\nThis paper presents a text-driven approach for tree modeling through L -System, adopting an optimization technique with CLIP.\n\n\nYudai Ichimura (Hosei University) and Syuhei Sato (Hosei University, Prometech CG Resear ch)\n---------------------\nAI-supported Nishijin-ori: connecting a text-t o-image model to traditional Nishijin-ori textile production\n\nThis paper presents an AI-supported Nishijin-ori. We first generated pattern images using a fine-tuned text-to-image model, and then produced traditional wove n Japanese textiles, Nishijin-ori.\n\n\nAsahi Adachi (Sony Computer Scienc e Laboratories - Kyoto, Nara Institute of Science and Technology); Lana Si napayen (Sony Computer Science Laboratories - Kyoto, National Institute fo r Basic Biology); Hironori Fukuoka (Fukuoka Weaving Co., Ltd.); and Jun Re kimoto (Sony Computer Science Laboratories - Kyoto, The University of Toky o)\n---------------------\nExpression Omnibus: Expandable Facial Expressio n Dataset via Embedding Analysis and Synthesis\n\nWe demonstrate a method to expand a dataset of facial expressions by generating realistic faces ba sed on our assessment of a controlled set of realistic faces and its embed ding space.\n\n\nJoonho Park and Da Eun Kim (Giantstep) and Joo-Haeng Lee (Pebblous)\n---------------------\nRoom to Room Mapping: Seamlessly Connec ting Different Rooms\n\nWe propose a projection mapping technique designed to connect rooms in disparate locations virtually, creating a continuous, immersive space.\n\n\nNaoki Hashimoto and Yuki Inada (The University of E lectro-Communications)\n---------------------\nOwnDiffusion: A Design Pipe line Using Design Generative AI to preserve Sense Of Ownership\n\nOwnDiffu sion, a design pipeline that utilizes Generative AI to assist in the physi cal prototype ideation process for novice product designers and industrial design learners while preserving their sense of ownership. We envision th is method as a solution for AI-assisted design, enabling designers to ...\ n\n\nYaokun Wu (Keio University, Keio University Graduate School of Media Design) and Minamizawa Kouta and Yun Suen Pai (Keio Media Design)\n------- --------------\nConversation Echo: Communication in virtual environments t hat reflects conversation contents\n\nThis research proposes "Conversation Echo," a system that reflects the topics of conversation in the VR enviro nment in real time by using AI to extract topics and generate panoramic im ages.\n\n\nShun Hachisu, Sohei Wakisaka, and Kouta Minamizawa (Keio Univer sity Graduate School of Media Design)\n---------------------\nAn Examinati on of Text Shaking Correction Methods for AR Walking\n\nOne problem with w alking in AR is less readability of displayed text. Head shaking causes th e displayed text to shake. The screen coordinate system(SCS) or world coor dinate system(WCS) is used for displaying text with different effective di stances. We propose methods to correct text shaking by combi...\n\n\nMie S ato, Hiromu Koide, and Kei Kanari (Utsunomiya University)\n--------------- ------\nEfficient and Accurate Physically Based Rendering of Periodic Mult ilayer Structures with Iridescence\n\nWe propose a method for rendering ir idescence caused by periodic multilayer structures by employing Huxley's a pproach. Our approach can compute multilayer interference efficiently and accurately.\n\n\nYoshiki Kaminaka, Toru Higaki, Bisser Raytchev, and Kazuf umi Kaneda (Hiroshima University)\n---------------------\nRule-of-Thirds o r Centered? A study in preference in photo composition\n\nWe report an exp eriment to test the validity of the Rule of Thirds. Our participants overw helmingly preferred a centered object to one positioned according to the R ule of Thirds.\n\n\nWeng Khuan Hoh, Fang Lue Zhang, and Neil A. Dodgson (V ictoria University of Wellington)\n---------------------\nVector Gradient Stroke Stylized Neural Network Painting\n\nWe propose vectorization techni ques with SVG gradient color paths to represent non-photorealistic renderi ng brush stroke raster images, reducing the overall path amounts, reducing vector file size and facilitating image editing.\n\n\nJia-Shuan Lin and T ung-Ju Hsieh (National Taipei University of Technology)\n----------------- ----\nSCOOT:Self-supervised Centric Open-set Object Tracking\n\nWe propose a system that encompasses a self-supervised appearance model, a fusion mo dule for combining textual and visual features, and an object association algorithm based on reconstruction and observation.\n\n\nWei Li (Institute of Automation, Chinese Academy Of Sciences); Weiliang Meng (Institute of A utomation, Institute of Automation, Chinese Academy Of Sciences); Bowen Li (Institute of Automation, Institute of Automation, Institute of Automatio n, Chinese Academy Of Sciences); and Jiguang Zhang and Xiaopeng Zhang (Ins titute of Automation, Institute of Automation, Chinese Academy Of Sciences )\n---------------------\nRecognition-Independent Handwritten Text Alignme nt Using Lightweight Recurrent Neural Network\n\nA novel approach to impro ve handwriting legibility by straightening the written content. It may be used for aligning text across different languages and doesn't need prior h andwriting recognition.\n\n\nKarina Korovai, Dmytro Zhelezniakov, and Olga Radyvonenko (Samsung R&D Institute Ukraine); Oleg Yakovchuk (Samsung R&D Institute Ukraine, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"); and Ivan Deriuga and Nataliya Sakhnenko (Sa msung R&D Institute Ukraine)\n---------------------\nDeveloping a Realisti c VR Interface to Recreate a Full-body Immersive Fire Scene Experience\n\n This paper describes a research project on a VR fire training system. It c reates a multi-sensory experience that simulates a real-world fire scene, and evaluated firefighters' and the public's satisfaction.\n\n\nUngyeon Ya ng and Hyungki Son (Electronics and Telecommunications Research Institute (ETRI)) and Kyungsik Han (Hanyang University)\n---------------------\nCros sing Narrative: Exploring the Possibilities of Crossing the Virtuality and Reality in Interactive Narrative Experiences\n\nWe introduce “Crossing Na rrative”, an interactive narrative experience that seamlessly blends virtu ality and reality by utilizing real-world views and bystanders. We discuss specific methods for designing cross-reality narrative experience, focusi ng on three key aspects of cross-reality ...\n\n\nZixiao Liu (School of Ne w Media Art and Design, Beihang University) and Shuo Yan and Xukun Shen (S chool of New Media Art and Design, Beihang University; State Key Laborator y of Virtual Reality Technology and Systems, Beihang University)\n-------- -------------\nAuditory VR Generative System for Non-Experts to Reproduce Human Memories Through Natural Language Interactions\n\nProposing an autom atic auditory VR generative system from natural language input for VR expo sure therapy. It utilizes a LLM, auditory dataset, and spatial audio gener ator, demonstrating utility through physician evaluations.\n\n\nYuta Yamau chi (University of Tsukuba), Keiko Ino (National Center of Neurology and P sychiatry), and Keiichi Zempo (University of Tsukuba)\n------------------- --\nA remote training platform for learning physical skills using an AI po wered virtual coach and a novel IoT sensing mat\n\nWe introduce a novel AI oT platform for remote Martial Arts training using a pressure sensing mat, virtual coach and Serious Game. User studies demonstrate its training eff ectiveness and adoption potential.\n\n\nKatia Bourahmoune (Univeristy of T echnology Sydney) and Karlos Ishac and Marc Carmichael (University of Tech nology Sydney)\n---------------------\nTowards a Psychophysically Plausibl e Simulation of Translucent Appearance\n\nUnderstanding visual perception of materials is critical for informing image-based approaches to real-time rendering. This poster presents a new cue to translucency that can be eff iciently modeled using graphical rendering.\n\n\nTakehiro Nagai (Tokyo Ins titute of Technology, University of New South Wales Sydney); Hiroaki Kiyok awa (Saitama University); Stephen Palmisano (University of Wollongong); an d Juno Kim (University of New South Wales Sydney)\n---------------------\n Usability Evaluation of VR Shopping System not Imitating Real Stores\n\nIn this study, we investigated the usability of VR shopping systems that do not imitate real stores and created a user-friendly system on the basis of the results.\n\n\nIkumi Hisamatsu and Yuji Sakamoto (Hokkaido University) \n---------------------\nMulti-Stage Manufacturing for Preoperative Medica l Models with Overhanging Components\n\nWe propose a cost-effective, mult i-stage hybrid manufacturing method that combines printing and molding to progressively solidify intricate medical models. And we have successfully produced a liver model with overhanging tumors.\n\n\nMingli Xiang and Zun Li (Beijing University of Technology), Lin Lu (Shandong University), and L ifang Wu (Beijing University of Technology)\n---------------------\nVisual Signatures of Music Mood\n\nVisualization of music as static images is ra rely addressed. In this poster, we propose visual signatures – static imag es which are generated using artificial intelligence to visualise the musi c mood.\n\n\nHanqin Wang and Alexei Sourin (Nanyang Technological Universi ty)\n---------------------\nTowards Efficient Local 3D Conditioning\n\nWe propose an innovative weight-encoded, locally conditioned neural implicit representation, utilizing a neural network to approximate a grid of latent codes, while sharing the decoder across the entire category. This approac h significantly enhances reconstruction quality compared to global methods ...\n\n\nDingxi Zhang (MIT CSAIL, University of Chinese Academy of Scienc e) and Artem Lukoianov (MIT CSAIL)\n\nRegistration Category: Full Access, Business & Innovation Symposium Access, Exhibit & Experience Access, Enhan ced Access, Trade Exhibitor, Experience Hall Exhibitor END:VEVENT END:VCALENDAR