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CREATED:20240430T190822Z
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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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