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NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity

11 June 2020
Sang-gil Lee
Sungwon Kim
Sungroh Yoon
ArXivPDFHTML

Papers citing "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity"

4 / 4 papers shown
Title
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits
Yibo Xia
Lizhen Wang
Xiang Deng
Xiaoyan Luo
Yunhong Wang
Yebin Liu
VGen
52
1
0
12 Dec 2023
AdaVITS: Tiny VITS for Low Computing Resource Speaker Adaptation
AdaVITS: Tiny VITS for Low Computing Resource Speaker Adaptation
Kun Song
Heyang Xue
Xinsheng Wang
Jian Cong
Yongmao Zhang
Linfu Xie
Bing Yang
Xiong Zhang
Dan Su
19
5
0
01 Jun 2022
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Xingjian Zhen
Rudrasis Chakraborty
Liu Yang
Vikas Singh
DRL
MedIm
31
9
0
18 Dec 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
1