Learning Disentangled Representation by Exploiting Pretrained Generative
Models: A Contrastive Learning View

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

21 February 2021

Papers citing "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"

11 / 11 papers shown

Title
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 46 0 0 27 May 2024
On enhancing the robustness of Vision Transformers: Defensive Diffusion Raza Imam Muhammad Huzaifa Mohammed El-Amine Azz MedIm DiffM 22 5 0 14 May 2023
Disentangling Writer and Character Styles for Handwriting Generation Gang Dai Yifan Zhang Qingfeng Wang Qing Du Zhu Liang Yu Zhuoman Liu Shuangping Huang 32 21 0 26 Mar 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 14 96 0 16 Dec 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 19 77 0 21 Nov 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
IA-FaceS: A Bidirectional Method for Semantic Face Editing Wenjing Huang Shikui Tu Lei Xu CVBM 22 16 0 24 Mar 2022
HyperInverter: Improving StyleGAN Inversion via Hypernetwork Tan M. Dinh Anh Tran Rang Nguyen Binh-Son Hua 24 116 0 01 Dec 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 164 678 0 10 Oct 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018