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DTSTAMP:20260114T163729Z
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:Connecting Stories: You are not alone.\n\nThe SIGGRAPH Asia Do
 ctoral Consortium is a forum for PhD students to meet and discuss their wo
 rk with each other and a panel of experienced SIGGRAPH Asia researchers in
  an informal and interactive setting.\n\nThe Doctoral Consortium program c
 onsist of a short 15-minute presentation of the student’s work followed by
  a discussion with the panel and other student participants.\n\nSeeing the
  Invisible: Next-Generation Cameras Leveraging Hidden Properties of Light\
 n\nConventional cameras only capture light's intensity and color, restrict
 ing visual understanding. This thesis transcends RGB imaging by exploring 
 the underexplored potential of polarization, ray direction, and time-of-fl
 ight of light. First, it leverages polarization for geometry, reflectance,
  and li...\n\n\nAkshat Dave (Rice University)\n---------------------\n3D G
 eometric Synthesis for Critical Applications\n\nMy research uses geometric
  tools to enable completely new workflows in 3D shape synthesis. I build a
 lgorithms that not only allow users to fully express themselves through 3D
  creative content creation, but also guide them towards task-specific desi
 gn for applications like fabrication and simulation....\n\n\nSilvia Sellán
  (University of Toronto)\n---------------------\nModeling Dynamic Clothing
  for Data-Driven Photorealistic Avatars\n\nThis thesis presents research o
 n building photorealistic avatars of humans wearing complex clothing in a 
 data-driven manner. First, we introduce a separate two-layer representatio
 n that allows us to disentangle the dynamics between the pose-driven body 
 part and temporally-dependent clothing part. Se...\n\n\nDonglai Xiang (Car
 negie Mellon University)\n---------------------\nLearning Assisted Interac
 tive 3D modelling from 3D sketches\n\nWith the advent of Virtual Reality (
 VR) and Augmented Reality (AR) technologies, 3D sketching has become more 
 accessible. Learning based methods provide an effective alternate paradigm
  for solving the problem of sketch based modelling in interactive platform
 s. We present our proposed framework for t...\n\n\nSukanya Bhattacharjee (
 Indian Institute of Technology (IIT), Bombay)\n---------------------\nQues
 t Driven Spatial Songs - Exploring how narrative structures of Quests in G
 ames can be mapped onto songs.\n\nThis paper examines the relationship bet
 ween music recordings and narrative structures found in video games.The pa
 per explores the potential of spatialised music experiences, particularly 
 in the context of Dolby Atmos and the concept of degrees of freedom (3DoF 
 and 6DoF). It investigates the applica...\n\n\nYunyu Ong (University of Te
 chnology Sydney)\n---------------------\nReconstructing Hand Shape and App
 earance for Accurate Tracking from Monocular Video\n\nIn this thesis, we 1
 ) introduce a novel hand shape model that augments a data-driven shape mod
 el and adapt its local scale to represent unseen hand shapes, 2) propose a
  method to reconstruct a detailed hand avatar from monocular RGB video cap
 tured under real-world environment lighting by jointly opt...\n\n\nPratik 
 Kalshetti (Indian Institute of Technology Bombay)\n---------------------\n
 Analytical & Neural approaches to Physically Based Rendering\n\nThe major 
 contributions of this thesis are extending and accelerating Linearly Trans
 formed Cosines (LTC) and Multi-Scattering in path tracing. We first relax 
 the polygonal light only and no visibility assumptions of LTCs for area li
 ght rendering. Next, we relax the isotropic BRDF only assumption by ...\n\
 n\nAakash KT (International Institute Of Information Technology, Hyderabad
 )\n---------------------\nFast Remeshing-Free Methods for Complex Cutting 
 and Fracture Simulation\n\nSimulating complex cuts and fractures robustly 
 and accurately benefits a broad spectrum of researchers. We develop a grap
 h-based Finite Element Method model that reformulates elastic strain energ
 y for fracture simulation and adds negligible overhead over FEM. It models
  fracture on the graph induced ...\n\n\nAvirup Mandal (Indian Institute of
  Technology (IIT), Bombay)\n---------------------\nData-Driven Expressive 
 3D Facial Animation Synthesis for Digital Humans\n\nThis contribution focu
 ses on generating expressive 3D facial animation for digital humans by stu
 dying and employing data-driven techniques. Face is the first point of int
 erest during human interaction, and it is not any different for interactin
 g with digital humans. Even minor inconsistencies in fac...\n\n\nKazi Inja
 mamul Haque (Utrecht University)\n\nRegistration Category: Full Access\n\n
 Session Chair: Aaron Quigley (CSIRO's Data61)
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