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3D Representations for Learning to Reconstruct and Segment Shapes.
3D Representations for Learning to Reconstruct and Segment Shapes.
- 자료유형
- 학위논문
- Control Number
- 0016051922
- International Standard Book Number
- 9798515271039
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Genova, Kyle.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Princeton University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 146 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
- General Note
- Advisor: Funkhouser, Thomas.
- Dissertation Note
- Thesis (Ph.D.)--Princeton University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computer science.
- Index Term-Uncontrolled
- 3D reconstruction
- Index Term-Uncontrolled
- Computer graphics
- Index Term-Uncontrolled
- Computer vision
- Index Term-Uncontrolled
- Differentiable rendering
- Index Term-Uncontrolled
- Semantic segmentation
- Index Term-Uncontrolled
- Shape representation
- Added Entry-Corporate Name
- Princeton University Computer Science
- Host Item Entry
- Dissertations Abstracts International. 82-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:611522