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DTSTAMP:20240214T070312Z
LOCATION:Meeting Room C4.3\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T090000
DTEND;TZID=Australia/Melbourne:20231215T140000
UID:siggraphasia_SIGGRAPH Asia 2023_sess211@linklings.com
SUMMARY:Doctoral Consortium
DESCRIPTION:Doctoral Consortium\n\nConnecting Stories: You are not alone.\
 n\nThe SIGGRAPH Asia Doctoral Consortium is a forum for PhD students to me
 et and discuss their work with each other and a panel of experienced SIGGR
 APH Asia researchers in an informal and interactive setting.\n\nThe Doctor
 al Consortium program consist of a short 15-minute presentation of the stu
 dent’s work followed by a discussion with the panel and other student part
 icipants.\n\nData-Driven Expressive 3D Facial Animation Synthesis for Digi
 tal Humans\n\nThis contribution focuses on generating expressive 3D facial
  animation for digital humans by studying and employing data-driven techni
 ques. Face is the first point of interest during human interaction, and it
  is not any different for interacting with digital humans. Even minor inco
 nsistencies in fac...\n\n\nKazi Injamamul Haque (Utrecht University)\n----
 -----------------\nQuest Driven Spatial Songs - Exploring how narrative st
 ructures of Quests in Games can be mapped onto songs.\n\nThis paper examin
 es the relationship between music recordings and narrative structures foun
 d in video games.The paper explores the potential of spatialised music exp
 eriences, particularly in the context of Dolby Atmos and the concept of de
 grees of freedom (3DoF and 6DoF). It investigates the applica...\n\n\nYuny
 u Ong (University of Technology Sydney)\n---------------------\nFast Remes
 hing-Free Methods for Complex Cutting and Fracture Simulation\n\nSimulatin
 g complex cuts and fractures robustly and accurately benefits a broad spec
 trum of researchers. We develop a graph-based Finite Element Method model 
 that reformulates elastic strain energy for fracture simulation and adds n
 egligible overhead over FEM. It models fracture on the graph induced ...\n
 \n\nAvirup Mandal (Indian Institute of Technology (IIT), Bombay)\n--------
 -------------\nSeeing the Invisible: Next-Generation Cameras Leveraging Hi
 dden Properties of Light\n\nConventional cameras only capture light's inte
 nsity and color, restricting visual understanding. This thesis transcends 
 RGB imaging by exploring the underexplored potential of polarization, ray 
 direction, and time-of-flight of light. First, it leverages polarization f
 or geometry, reflectance, and li...\n\n\nAkshat Dave (Rice University)\n--
 -------------------\nAnalytical & Neural approaches to Physically Based Re
 ndering\n\nThe major contributions of this thesis are extending and accele
 rating Linearly Transformed Cosines (LTC) and Multi-Scattering in path tra
 cing. We first relax the polygonal light only and no visibility assumption
 s of LTCs for area light rendering. Next, we relax the isotropic BRDF only
  assumption by ...\n\n\nAakash KT (International Institute Of Information 
 Technology, Hyderabad)\n---------------------\n3D Geometric Synthesis for 
 Critical Applications\n\nMy research uses geometric tools to enable comple
 tely new workflows in 3D shape synthesis. I build algorithms that not only
  allow users to fully express themselves through 3D creative content creat
 ion, but also guide them towards task-specific design for applications lik
 e fabrication and simulation....\n\n\nSilvia Sellán (University of Toronto
 )\n---------------------\nLearning Assisted Interactive 3D modelling from 
 3D sketches\n\nWith the advent of Virtual Reality (VR) and Augmented Reali
 ty (AR) technologies, 3D sketching has become more accessible. Learning ba
 sed methods provide an effective alternate paradigm for solving the proble
 m of sketch based modelling in interactive platforms. We present our propo
 sed framework for t...\n\n\nSukanya Bhattacharjee (Indian Institute of Tec
 hnology (IIT), Bombay)\n---------------------\nReconstructing Hand Shape a
 nd Appearance for Accurate Tracking from Monocular Video\n\nIn this thesis
 , we 1) introduce a novel hand shape model that augments a data-driven sha
 pe model and adapt its local scale to represent unseen hand shapes, 2) pro
 pose a method to reconstruct a detailed hand avatar from monocular RGB vid
 eo captured under real-world environment lighting by jointly opt...\n\n\nP
 ratik Kalshetti (Indian Institute of Technology Bombay)\n-----------------
 ----\nModeling Dynamic Clothing for Data-Driven Photorealistic Avatars\n\n
 This thesis presents research on building photorealistic avatars of humans
  wearing complex clothing in a data-driven manner. First, we introduce a s
 eparate two-layer representation that allows us to disentangle the dynamic
 s between the pose-driven body part and temporally-dependent clothing part
 . Se...\n\n\nDonglai Xiang (Carnegie Mellon University)\n\nRegistration Ca
 tegory: Full Access\n\nSession Chair: Aaron Quigley (CSIRO's Data61)
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