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DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

28 May 2024
Lianghui Zhu
Zilong Huang
Bencheng Liao
Jun Hao Liew
Hanshu Yan
Jiashi Feng
Xinggang Wang
ArXivPDFHTML

Papers citing "DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention"

5 / 5 papers shown
Title
Scalable Diffusion Models with State Space Backbone
Scalable Diffusion Models with State Space Backbone
Zhengcong Fei
Mingyuan Fan
Changqian Yu
Junshi Huang
38
16
0
08 Feb 2024
Fine-Tuning Pre-trained Transformers into Decaying Fast Weights
Fine-Tuning Pre-trained Transformers into Decaying Fast Weights
H. H. Mao
26
9
0
09 Oct 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
253
7,682
0
12 Dec 2018
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
184
4,033
0
07 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
211
9,999
0
18 May 2015
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