Substance or Style: What Does Your Image Embedding Know?

Substance or Style: What Does Your Image Embedding Know?

10 July 2023

Cyrus Rashtchian

Charles Herrmann

Chun-Sung Ferng

Ayan Chakrabarti

Papers citing "Substance or Style: What Does Your Image Embedding Know?"

16 / 16 papers shown

Title
Safer Prompts: Reducing IP Risk in Visual Generative AI Lena Reissinger Yuanyuan Li Anna-Carolina Haensch Neeraj Sarna 23 0 0 06 May 2025
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs Urszula Czerwinska Cenk Bircanoglu Jeremy Chamoux 33 0 0 10 Apr 2025
Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI Surabhi S. Nath Guiomar del Cuvillo y Schröder Claire Stevenson 49 1 0 09 Feb 2025
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models Simon Schrodi David T. Hoffmann Max Argus Volker Fischer Thomas Brox VLM 42 0 0 11 Apr 2024
DreamWalk: Style Space Exploration using Diffusion Guidance Michelle Shu Charles Herrmann Richard Strong Bowen Forrester Cole Ramin Zabih AI4TS DiffM 35 2 0 04 Apr 2024
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models Vishaal Udandarao Max F. Burg Samuel Albanie Matthias Bethge VLM 24 6 0 12 Oct 2023
Probing Graph Representations Mohammad Sadegh Akhondzadeh Vijay Lingam Aleksandar Bojchevski 26 10 0 07 Mar 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 515 0 02 Jan 2023
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 37 31 0 16 Sep 2022
Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois Tatsunori Hashimoto Stefano Ermon Percy Liang SSL 59 40 0 13 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
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
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 2,875 0 11 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 876 0 03 May 2018
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015
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