Search for tag: "learn priors of 3d shapes"

Thumbnail for entry 3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734)

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3D Object Reconstruction of Unseen and Unlabeled…

3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734)

3D Object Reconstruction of Unseen and Unlabeled Point Clouds, Gene Chou, UG '22 (3963734)

Learning 3D representations of objects is a task at the heart of computer vision, robotic manipulation, scene understanding, medicine, and content generation. Implicit neural representations which…

computer vision
3d objects
3d representation
3d reconstruction
implicit neural representations
signed distance functions (sdf)
learn priors of 3d shapes
episodic training
object
classes
baseline
points
distance
representations
point
training
3d
detail
surface
sds
method
shapes
stages
baselines
categories
scale
process
scenarios
From  Research Princeton Research Day 0 likes 30 plays
Date
April 27th, 2022
Speaker
Gene Chou
Department
Computer Science