Bigger is not Always Better: Scaling Properties of Latent Diffusion
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Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

1 April 2024

Vishal M. Patel

Papers citing "Bigger is not Always Better: Scaling Properties of Latent Diffusion Models"

9 / 9 papers shown

Title
Towards Precise Scaling Laws for Video Diffusion Transformers Yuanyang Yin Yaqi Zhao Mingwu Zheng Ke Lin Jiarong Ou ... Pengfei Wan Di Zhang Baoqun Yin Wentao Zhang Kun Gai 110 2 0 03 Jan 2025
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 132 326 0 28 Nov 2023
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs Yanwu Xu Yang Zhao Zhisheng Xiao Tingbo Hou 118 44 0 14 Nov 2023
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks Hongyang Du Ruichen Zhang Fellow Ieee Dusit Niyato Jiawen Kang Zehui Xiong Fellow Ieee Dong In Kim Fellow Ieee Sherman Shen X. Shen L. F. I. H. Vincent Poor DiffM 57 74 0 07 Apr 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 170 256 0 07 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018