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BEGIN:VEVENT
DTSTAMP:20260417T190057Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250811T154500
DTEND;TZID=America/Los_Angeles:20250811T173500
UID:siggraph_SIGGRAPH 2025_sess144@linklings.com
SUMMARY:Interactive Reality & Perception
DESCRIPTION:A Deep Learning-based Virtual Oculoplastic Surgery Simulator\n
 \nA novel deep learning system enhances realistic virtual oculoplastic sur
 gery simulations.\n\n\nSeonghyeon Kim (KAIST, Visual Media Lab; Anigma Tec
 hnologies); Chang Wook Seo (Anigma Technologies); Kwanggyoon Seo (KAIST, V
 isual Media Lab); Seung Han Song (Chungnam National University Hospital, C
 hungnam National University); and Junyong Noh (KAIST, Visual Media Lab)\n-
 --------------------\nQUASAR: Quad-based Adaptive Streaming And Rendering\
 n\nThis paper introduces an improved quad-based geometry streaming method 
 for remote rendering that reduces bandwidth demands through temporal compr
 ession and supports QoE-driven adaptation. It achieves high-quality visual
 s, captures disocclusion events, uses 15× less data than SOTA, and reduces
  bandwi...\n\n\nEdward Lu and Anthony Rowe (Carnegie Mellon University)\n-
 --------------------\nWhat is HDR? Perceptual Impact of Luminance and Cont
 rast in Immersive Displays\n\nWe studied preferences for different contras
 ts and peak luminances in HDR. To do this, we collected a new HDR video da
 taset, developed tone mappers,  and built an HDR haploscope that can repro
 duce high luminance and contrast. Data was fit to a model which is used fo
 r applications like display design...\n\n\nKenneth Chen (New York Universi
 ty; Reality Labs Research, Meta); Nathan Matsuda, Jon McElvain, Yang Zhao,
  and Thomas Wan (Reality Labs Research, Meta); Qi Sun (New York University
 ); and Alexandre Chapiro (Reality Labs Research, Meta)\n------------------
 ---\nVR-Doh: Hands-on 3D Modeling in Virtual Reality\n\nVR-Doh, an intuiti
 ve VR-based 3D modeling system that lets you sculpt and manipulate soft ob
 jects and edit 3D Gaussian Splatting scenes in real time. Combining physic
 s-based simulation and expressive interaction, VR-Doh empowers both novice
 s and experts to create rich, deformable, simulation-ready m...\n\n\nZhaof
 eng Luo (Carnegie Mellon University, Peking University); Zhitong Cui (Carn
 egie Mellon University, Zhejiang University); Shijian Luo (Zhejiang Univer
 sity); Mengyu Chu (Peking University, State Key Laboratory of General Arti
 ficial Intelligence); and Minchen Li (Carnegie Mellon University)\n-------
 --------------\nInteractive Reality & Perception - Interactive Discussion\
 n\nAfter the summary presentations, attendees will participate in an inter
 active discussion. Outside the room will be a series of poster boards for 
 authors to gather around with the audience. Authors are invited to bring a
 ny material related to their paper that could instigate further conversati
 on such...\n\n---------------------\nPainting with 3D Gaussian Splat Brush
 es\n\nWe present the first interactive system for painting with 3D Gaussia
 n splat brushes. With our tool, artists can sample volumetric fragments fr
 om real-world Gaussian splat captures and paint with them in real time. Ou
 r tool seamlessly deforms sampled splats along painted strokes, introducin
 g realisti...\n\n\nKarran Pandey (University of Toronto); Anita Hu, Clemen
 t Fuji Tsang, and Or Perel (NVIDIA); Karan Singh (University of Toronto); 
 and Maria Shugrina (NVIDIA)\n---------------------\nFaceExpressions-70k: A
  Dataset of Perceived Expression Differences\n\nWe introduce FaceExpressio
 ns-70k, a large-scale dataset comprising 70,500 crowdsourced comparisons o
 f facial expressions collected from over 1,000 participants. It supports t
 he training of perceptual models for expression differences and helps guid
 e decisions on acceptable latency and sampling rates...\n\n\nAvinab Saha a
 nd Yu-Chih Chen (University of Texas Austin); Jean-Charles Bazin, Christia
 n Häne, Ioannis Katsavounidis, and Alexandre Chapiro (Reality Labs, Meta);
  and Alan Bovik (University of Texas Austin)\n---------------------\nTowar
 ds Understanding Depth Perception in Foveated Rendering\n\nWe demonstrate 
 that stereoacuity is remarkably resilient to foveated rendering and remain
 s unaffected with up to 2× stronger foveation than commonly used. To this 
 end, we design a psychovisual experiment and derive a simple perceptual mo
 del that determines the amount of foveation that does not affec...\n\n\nSo
 phie Kergaßner, Taimoor Tariq, and Piotr Didyk (Università della Svizzera 
 italiana)\n\nInterest Area: Research & Education\n\nRecording: Livestreame
 d, Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Full
  Conference, Virtual Access, Monday\n\nSession Chair: Yifan Peng (Universi
 ty of Hong Kong)
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