Simple Disentanglement of Style and Content in Visual Representations

20 February 2023

Papers citing "Simple Disentanglement of Style and Content in Visual Representations"

9 / 9 papers shown

Title
Towards LLMs Robustness to Changes in Prompt Format Styles Lilian Ngweta Kiran Kate Jason Tsay Yara Rizk AAML VLM 25 0 0 09 Apr 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 64 1 0 03 Feb 2025
StyleShot: A Snapshot on Any Style Junyao Gao Yanchen Liu Yanan Sun Yinhao Tang Yanhong Zeng Kai Chen Cairong Zhao TTA 3DH VLM 68 14 0 01 Jul 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 43 0 0 27 May 2024
Substance or Style: What Does Your Image Embedding Know? Cyrus Rashtchian Charles Herrmann Chun-Sung Ferng Ayan Chakrabarti Dilip Krishnan Deqing Sun Da-Cheng Juan Andrew Tomkins 15 6 0 10 Jul 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 206 0 17 Feb 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 171 311 0 07 Feb 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014