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Disentangling Content and Style via Unsupervised Geometry Distillation

Disentangling Content and Style via Unsupervised Geometry Distillation

11 May 2019
Wayne Wu
Kaidi Cao
Cheng Li
Chao Qian
Chen Change Loy
    DRL
ArXivPDFHTML

Papers citing "Disentangling Content and Style via Unsupervised Geometry Distillation"

5 / 5 papers shown
Title
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion
  Models
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang
Lei Zhao
Wei Xing
DiffM
32
124
0
15 Aug 2023
Simple Disentanglement of Style and Content in Visual Representations
Simple Disentanglement of Style and Content in Visual Representations
Lilian Ngweta
Subha Maity
Alex Gittens
Yuekai Sun
Mikhail Yurochkin
CoGe
DRL
32
7
0
20 Feb 2023
Learning Geometrically Disentangled Representations of Protein Folding
  Simulations
Learning Geometrically Disentangled Representations of Protein Folding Simulations
N. Joseph Tatro
Payel Das
Pin-Yu Chen
Vijil Chenthamarakshan
Rongjie Lai
AI4CE
27
0
0
20 May 2022
Harnessing the Conditioning Sensorium for Improved Image Translation
Harnessing the Conditioning Sensorium for Improved Image Translation
Cooper Nederhood
Nicholas I. Kolkin
Deqing Fu
Jason Salavon
37
6
0
13 Oct 2021
Swapping Autoencoder for Deep Image Manipulation
Swapping Autoencoder for Deep Image Manipulation
Taesung Park
Jun-Yan Zhu
Oliver Wang
Jingwan Lu
Eli Shechtman
Alexei A. Efros
Richard Y. Zhang
33
332
0
01 Jul 2020
1