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Mixed reality / Human–computer interaction / Augmented reality / Nature / Graphical user interface / Rendering / 3D interaction / Spatial analysis / User interface techniques / Reality / Virtual reality


Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation Angel X. Chang, Manolis Savva and Christopher D. Manning Computer Science Department, Stanford University {angelx,msavva,manning}@cs.stanford.edu
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Document Date: 2014-06-24 16:13:16


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File Size: 2,55 MB

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City

Psupport / /

Company

Amazon / Regroup / Google / /

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Facility

Stanford University / /

IndustryTerm

computational systems / generation systems / 3D scene design systems / image search algorithms / text-to-scene generation systems / scene systems / http /

OperatingSystem

FORK / /

Organization

Stanford University / Christopher D. Manning Computer Science Department / /

Person

Gilbert Bernstein / Simon Winder / Lijun Yin / James Fogarty / Bob Coyne / Daniel Bauer / Devi Parikh / Daniel Weld / Ashutosh Saxena / Saleema Amershi / Daniel Ritchie / Richard Sproat / Terry Winograd / Marcus Lim / Paul Merrell / Ashish Kapoor / Alan D Kalvin / Sharon Rose Clay / Left / Yun Jiang / Jane Wilhelms / Benjamin Rosman / Manolis Savva / Desney Tan / Masoud Rouhizadeh / Lee M Seversky / Christopher D. Manning / Maneesh Agrawala / Matthew Fisher / Pat Hanrahan / Angel X. Chang / Alexander Klapheke / Eric Schkufza / Thomas Funkhouser / Subramanian Ramamoorthy / Vladlen Koltun / Lawrence Zitnick / Russell H Taylor / Lucy Vanderwende / Zeyang Li / /

Position

red chair / chair / desk chair / /

ProgrammingLanguage

SHRDLU / /

PublishedMedium

ACM Transactions on Graphics / The International Journal / Machine Learning / Computer Graphics / /

SportsLeague

Stanford University / /

Technology

learning algorithm / refining image search algorithms / machine learning / simulation / scene generation algorithms / /

URL

http /

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