BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Australia/Melbourne X-LIC-LOCATION:Australia/Melbourne BEGIN:DAYLIGHT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 TZNAME:AEDT DTSTART:19721003T020000 RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU END:DAYLIGHT BEGIN:STANDARD DTSTART:19721003T020000 TZOFFSETFROM:+1100 TZOFFSETTO:+1000 TZNAME:AEST RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240214T070241Z LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre) DTSTART;TZID=Australia/Melbourne:20231212T093000 DTEND;TZID=Australia/Melbourne:20231212T124500 UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_401@linklings.com SUMMARY:HyperDreamer: Hyper-Realistic 3D Content Generation and Editing fr om a Single Image DESCRIPTION:Technical Papers\n\nTong Wu and Zhibing Li (The Chinese Univer sity of Hong Kong, Shanghai AI Laboratory); Shuai Yang (Shanghai Jiao Tong University, Shanghai AI Laboratory); Pan Zhang (Shanghai AI Laboratory); Xingang Pan (Max Planck Institute for Informatics); Jiaqi Wang (Shanghai A I Laboratory); Dahua Lin (The Chinese University of Hong Kong, Shanghai AI Laboratory); and Ziwei Liu (Nanyang Technological University)\n\n3D conte nt creation from a single image is a long-standing yet highly desirable ta sk. Recent advances introduce 2D diffusion priors, yielding reasonable res ults. However, existing methods are not hyper-realistic enough for post-ge neration usage, as users cannot view, render and edit the resulting 3D con tent from a full range. To address these challenges, we introduce Hyper-Dr eamer with several key designs and appealing properties: 1) Full-range vie wable: 360◦ mesh modeling with high-resolution textures enables the creati on of visually compelling 3D models from a full range of observation point s. 2) Full-range renderable: Fine-grained semantic segmentation and data-d riven priors are incorporated as guidance to learn reasonable albedo, roug hness, and specular properties of the materials, enabling semantic-aware a rbitrary material estimation. 3) Full-range editable: For a generated mode l or their own data, users can interactively select any region via a few c licks and efficiently edit the texture with text-based guidance. Extensive experiments demonstrate the effectiveness of HyperDreamer in modeling reg ion-aware materials with high-resolution textures and enabling user-friend ly editing. We believe that HyperDreamer holds promise for adVancing 3D co ntent creation and finding applications in various domains.\n\nRegistratio n Category: Full Access, Enhanced Access, Trade Exhibitor, Experience Hall Exhibitor URL:https://asia.siggraph.org/2023/full-program?id=papers_401&sess=sess209 END:VEVENT END:VCALENDAR