NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models

8 December 2023

Papers citing "NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models"

4 / 4 papers shown

Title
SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing Ming Li Xin Gu Fan Chen X. Xing Longyin Wen Cheng Chen Sijie Zhu DiffM 83 1 0 05 May 2025
Subjective Face Transform using Human First Impressions Chaitanya Roygaga Joshua Krinsky Kai Zhang Kenny Kwok Aparna Bharati CVBM 41 0 0 27 Sep 2023
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer Serin Yang Hyunmin Hwang Jong Chul Ye DiffM 92 58 0 15 Mar 2023
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,368 0 12 Dec 2018