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BEGIN:VEVENT
DTSTAMP:20260805T205608Z
LOCATION:Hall K
DTSTART;TZID=America/Los_Angeles:20260721T180000
DTEND;TZID=America/Los_Angeles:20260721T194500
UID:siggraph_SIGGRAPH 2026_sess315@linklings.com
SUMMARY:Real-Time Live!
DESCRIPTION:Real-Time Live! Meet and Greet\nJoin us for a meet and greet w
 ith our speakers immediately following the session. This is a great opport
 unity to continue the conversation, connect with fellow attendees, and ask
  any additional questions.\nLocation: Hall K Lobby\n\nCreate Interactive 3
 D Assets in Seconds!\n\nWe present a live system that generates fully text
 ured, rigged, and animated 3D assets from images in seconds. Audience memb
 ers contribute prompts via their phones in real time, and their creations 
 instantly populate a shared animated scene, demonstrating a new paradigm f
 or interactive 3D content cr...\n\n\nYing-Tian Liu (VAST); Hanxiao Wang (I
 nstitute of Automation, Chinese Academy of Sciences; VAST); Yuan-Chen Guo 
 and Yumeng Li (VAST); Yi-Hua Huang (The University of Hong Kong (HKU), VAS
 T); and Yu-Lin Tsai and Yan-Pei Cao (VAST)\n---------------------\nDissect
 ible Anatomy: Embodied Exploration for Education\n\nOur technique allows u
 s to create virtual dissectible models from color cryosection data, such a
 s the images from the Visible Human Project, using high-performance deform
 able and destructible shape constraints. Models support fracture modes tha
 t are crucial to anatomy education applications: cutting...\n\n\nTim McGra
 w and Jack Myers (Purdue University)\n---------------------\nGame-Ready Ha
 ir in Minutes! Hair Mesh Modeling with Physics\n\nWe show how game-ready h
 air models can be prepared within minutes using our new Hair Mesh modeling
  framework that combines mesh modeling operations with physics simulation.
  The resulting Hair Mesh models can be used for generating individual hair
  strands with a variety of styles for high-quality rea...\n\n\nCem Yuksel 
 (Cyber Radiance) and Mayar Youksell (Salt Lake Center for Science Educatio
 n)\n---------------------\nHiPR: Hierarchical Progressive Rendering for Im
 mediate Feedback\n\nRe-rendering an entire frame after every scene modific
 ation — especially small changes — is wasteful. Our Hierarchical Progressi
 ve Rendering (HiPR) method only re-renders modified objects and their ligh
 t transport dependencies. It enables interactively-rendered edits by direc
 ting samples...\n\n\nRafael Padilla, Andrew Tate, and Dhruv Ram (Universit
 y of Utah) and Cem Yuksel (University of Utah, Cyber Radiance)\n----------
 -----------\nOlaf: Bringing an Animated Character to Life in the Physical 
 World\n\nWe brought the animated character Olaf to life in the physical wo
 rld using reinforcement learning and innovative custom hardware. To mirror
  the animation, we utilized novel rewards to reduce impact noises and prev
 ent actuator overheating. The result is a physically robust robot that aut
 hentically ca...\n\n\nDavid Müller and Espen Knoop (Disney Research); Dari
 o Mylonopoulos (Disney Research Studios); and Agon Serifi, Michael A. Hopk
 ins, Ruben Grandia, and Moritz Bächer (Disney Research)\n-----------------
 ----\nPromptable AI Camera\n\nPAIC is a virtual camera that allows any cam
 era feed to be adjusted in real time, using text prompts. No complex softw
 are or expensive hardware required. What you want is what you get: the AI 
 adjusts it live - whether it's an avatar, effect or background.\n\n\nJeroe
 n Cluckers, Joshua Hall, and Lowie Spriet (AP University of Applied Scienc
 es and Arts Antwerp)\n---------------------\nRunway Characters: Real-Time 
 Expressive AI Characters from a Single Image\n\nRunway Characters is a rea
 l-time video agent that generates fully expressive, conversational AI char
 acters from a single image — zero fine-tuning required. Built on GWM-1, Ru
 nway's General World Model, it produces lifelike lip-sync, facial expressi
 ons, and head motions at 24fps, spanning photo...\n\n\nYining Shi and Kath
 leen Lewis (Runway)\n---------------------\nZibraGDS: Cinematic-Quality An
 imated Geometry Compression and Real-Time Playback\n\nZibraGDS (Geometry D
 ata Structure) is a high-performance, GPU-friendly, multi-attribute geomet
 ry data compression, decompression, and rendering technology, designed for
  cinematic-quality real-time use cases. It facilitates the further converg
 ence of offline and real-time workflows, where artists can...\n\n\nOleksan
 dr Petrenko, Oleksandr Puchka, Oleksandr Klimenko, Mykhailo Moroz, Dmytro 
 Bulatov, Mai Ao, Oleksandr Havrylenko, and Denys Maletkyi (Zibra AI Inc.)\
 n\nInterest Area: Arts & Design, Gaming & Interactive, New Technologies, P
 roduction & Animation, Research & Education\n\nKeyword: Animation, Art, Ar
 tificial Intelligence/Machine Learning, Computer Vision, Digital Twins, Dy
 namics, Games, Generative AI, Geometry, Graphics Systems Architecture, Har
 dware, Modeling, Performance, Physical AI, Pipeline Tools and Work, Real-T
 ime, Rendering, Robotics, Scientific Visualization, Simulation\n\nRegistra
 tion Category: Full Conference Supporter, Full Conference
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