서브메뉴
검색
Transferable Generative Models- [electronic resource]
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
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:642965
ค้นหาข้อมูลรายละเอียด
- จองห้องพัก
- 캠퍼스간 도서대출
- 서가에 없는 책 신고
- โฟลเดอร์ของฉัน