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Transferable Generative Models- [electronic resource]
ข้อมูลเนื้อหา
Transferable Generative Models- [electronic resource]
자료유형  
 학위논문
Control Number  
0016932483
International Standard Book Number  
9798380877213
Dewey Decimal Classification Number  
004
Main Entry-Personal Name  
Jain, Ajay.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of California, Berkeley., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(134 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
General Note  
Advisor: Abbeel, Pieter.
Dissertation Note  
Thesis (Ph.D.)--University of California, Berkeley, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약We present progress in developing stable, scalable and transferable generative models for visual data. We first learn expressive image priors using autoregressive models which generate high-quality and diverse images. We then explore transfer learning to generalize visual representations models to new data modalities with limited available data. We propose two methods to generate high quality 3D graphics from sparse input images or natural language descriptions by distilling knowledge from pretrained discriminative vision models. We briefly summarize our work on improving generation quality with a Denoising Diffusion Probabilistic Model, and demonstrate how to transfer it to new modalities including high-quality text-to-3D synthesis using Score Distillation Sampling. Finally, we generate 2D vector graphics from text by optimizing a vector graphics renderer with knowledge distilled from a pretrained text-to-image diffusion model, without vector graphics data. Our models enable high-quality generation across many modalities, and continue to be broadly applied in subsequent work.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Computer engineering.
Subject Added Entry-Topical Term  
Information technology.
Index Term-Uncontrolled  
3D graphics
Index Term-Uncontrolled  
Deep learning
Index Term-Uncontrolled  
Text-to-image diffusion model
Index Term-Uncontrolled  
Generative AI
Added Entry-Corporate Name  
University of California, Berkeley Electrical Engineering & Computer Sciences
Host Item Entry  
Dissertations Abstracts International. 85-06B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:642965
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