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PRODID:Linklings LLC
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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035348Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221209T140000
DTEND;TZID=Asia/Seoul:20221209T153000
UID:siggraphasia_SIGGRAPH Asia 2022_sess178@linklings.com
SUMMARY:VR and Interaction
DESCRIPTION:Technical Communications, Technical Papers\n\nThe presentation
 s will be followed by a 30-min Interactive Discussion Session at Room 325-
 CD.\n\nThe Technical Papers program is the premier international forum for
  disseminating new scholarly work in computer graphics and interactive tec
 hniques. Technical Papers are published as a special issue of ACM Transact
 ions on Graphics. In addition to papers selected by the SIGGRAPH Asia 2022
  Technical Papers Jury, the conference presents papers that have been publ
 ished in ACM Transactions on Graphics during the past year. Accepted paper
 s adhere to the highest scientific standards.\n\nThe Technical Communicati
 ons program is a premier forum for presenting the latest developments and 
 research still in progress. Leading international experts in academia and 
 industry present work that showcase actual implementations of research ide
 as, works at the crossroads of computer graphics with computer vision, mac
 hine learning, HCI, VR, CAD, visualization, and many others.\n\nUmeTrack: 
 Unified multi-view end-to-end hand tracking for VR\n\nHan, Wu, Zhang, Liu,
  Zhang...\n\nReal-time tracking of 3D hand pose in world space is a challe
 nging problem\nand plays an important role in VR interaction. Existing wor
 k in this space are\nlimited to either producing root-relative (versus wor
 ld space) 3D pose or rely\non multiple stages such as generating heatmaps 
 and kinematic optimi...\n\n---------------------\nNeural Brushstroke Engin
 e: Learning a Latent Style Space of Interactive Drawing Tools\n\nShugrina,
  Li, Fidler\n\nWe propose Neural Brushstroke Engine, the first method to a
 pply deep generative models\nto learn a distribution of interactive drawin
 g tools. \nOur conditional GAN model learns the latent \nspace of drawing 
 styles from a small set (about 200) of unlabeled images in different media
 .\nOnce trained, a sing...\n\n---------------------\nIDE-3D: Interactive D
 isentangled Editing for High-Resolution 3D-aware Portrait Synthesis\n\nSun
 , Wang, Shi, Wang, Liu...\n\nExisting 3D-aware facial generation methods f
 ace a dilemma in quality versus editability: they either generate editable
  results in low resolution, or high quality ones with no editing flexibili
 ty. In this work, we propose a new approach that brings the best of both w
 orlds together. Our system consis...\n\n---------------------\nH❤️rtDown: 
 Document Processor for Executable Linear Algebra Papers\n\nLi, Kamil, Jaco
 bson, Gingold\n\nScientific documents describe a topic in a mix of prose a
 nd mathematical expressions. The prose refers to those expressions, which 
 themselves must be encoded in, e.g., LaTeX. The resulting documents are st
 atic, even though most documents are now read digitally. Moreover, formula
 s must be implemented...\n\n---------------------\nNeuralMarker: A Framewo
 rk for Learning General Marker Correspondence\n\nHuang, Pan, Pan, Bian, Xu
 ...\n\nWe tackle the problem of estimating correspondences from a general 
 marker, such as a movie poster, to an image that captures such a marker. C
 onventionally, this problem is addressed by fitting a homography model bas
 ed on sparse feature matching. However, they are only able to handle plane
 -like marke...\n\n---------------------\nReal-Time Omnidirectional Roaming
  in Large Scale Indoor Scenes\n\nHuang, Chen, Zhang, Yeung\n\nWe proposed 
 a pipeline that can efficiently digitize the real world for real-time 360°
  indoor-scene roaming that achieves 6-DoF flexibility.\n\n----------------
 -----\nForce-Aware Interface via Electromyography for Natural VR/AR Intera
 ction\n\nZhang, Liang, Chen, Torrens, Atashzar...\n\nWhile tremendous adva
 nces in visual and auditory realism have been made for virtual and augment
 ed reality (VR/AR), introducing a plausible sense of physicality into the 
 virtual world remains challenging. Closing the gap between real-world phys
 icality and immersive virtual experience requires a close...\n\n\nRegistra
 tion Category: FULL ACCESS, ON-DEMAND ACCESS\n\nLanguage: ENGLISH\n\nForma
 t: IN-PERSON, ON-DEMAND
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