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SUMMARY:Penn Engineering 2024 Commencement Open House
DESCRIPTION:On Monday\, May 20\, 2024\, from 12:15-2:15 p.m.\, Penn Engineering will host an Open House for the School’s returning graduates and their families throughout the first floors of the main Engineering complex\, immediately following the University Ceremony. \nIncluded are photo booth opportunities\, a t-shirt giveaway (including a live t-shirt press!)\, and light refreshments. Please join us!
URL:https://seasevents.nmsdev7.com/event/penn-engineering-2024-commencement-open-house/
LOCATION:PA
CATEGORIES:Faculty,Doctoral,Graduate,Student,Master's,Commencement,Undergraduate,Staff
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DTSTART;TZID=America/New_York:20240524T130000
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SUMMARY:GRASP Seminar: Yinghao Xu\, Stanford University\, "Large Reconstruction Model for Efficient 3D Reconstruction and Generation"
DESCRIPTION:*This seminar will be held in-person in Wu and Chen as well as virtually via Zoom.  \nABSTRACT\nOver the past year\, the large language model has achieved significant milestones\, approaching human-like intelligence across various domains. However\, there has been limited investigation into large-scale 3D reconstruction in the literature. In this talk\, I will primarily focus on our recent advancements in large-scale 3D reconstruction.\nI will start with an introduction to the basics of the Large-scale Reconstruction Model (LRM)\, aiming to develop a robust and highly generalizable 3D reconstruction system utilizing high-quality 3D data. I will also explain how LRM can be used to efficiently perform high-quality text-to-3D and image-to-3D generation tasks\, such as Instant3D and DMV3D.Finally\, I will highlight our recent work\, specifically our progress in large-scale 3D reconstruction using Gaussian Splatting (GRM). As a large-scale reconstructor\, GRM can reconstruct a 3D asset from sparse-view images in about 0.1 seconds. Moreover\, GRM shows promising potential in generative tasks\, such as text-to-3D and image-to-3D\, through its integration with existing multi-view diffusion models.
URL:https://seasevents.nmsdev7.com/event/grasp-seminar-yinghao-xu-stanford-university-large-reconstruction-model-for-efficient-3d-reconstruction-and-generation/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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