PKU-AIGI-500K: A Neural Compression Benchmark and Model for AI-Generated Images-Reference-Cited by-同舟云学术

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PKU-AIGI-500K: A Neural Compression Benchmark and Model for AI-Generated Images

Published:2024-06 Issue:2 Volume:14 Page:172-184
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Duan Xunxu¹^ORCID,Ma Siwei²^ORCID,Liu Hongbin³^ORCID,Jia Chuanmin⁴^ORCID

Affiliation:

1. Wangxuan Institute of Computer Technology (WICT), Peking University, Beijing, China

2. National Key Laboratory for Multimedia Information Processing and the School of Computer Science, Peking University, Beijing, China

3. Multimedia Laboratory, ByteDance Inc., Beijing, China

4. Wangxuan Institute of Computer Technology (WICT) and the National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

XPLORE Prize

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5503868/10578329/10493034.pdf?arnumber=10493034

Reference49 articles.

1. High-Resolution Image Synthesis with Latent Diffusion Models

2. SDXL: Improving latent diffusion models for high-resolution image synthesis;Podell;arXiv:2307.01952,2023

3. Mixture of diffusers for scene composition and high resolution image generation;Jiménez;arXiv:2302.02412,2023

4. Variational image compression with a scale hyperprior;Ballé;arXiv:1802.01436,2018

5. Joint Global and Local Hierarchical Priors for Learned Image Compression

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