CLIP Brings Better Features to Visual Aesthetics Learners

28 July 2023

Papers citing "CLIP Brings Better Features to Visual Aesthetics Learners"

5 / 5 papers shown

Title
Understanding Implosion in Text-to-Image Generative Models Wenxin Ding Cathy Y. Li Shawn Shan Ben Y. Zhao Haitao Zheng 36 0 0 18 Sep 2024
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization Jooyeol Yun Jaegul Choo MoMe 25 2 0 09 Jul 2024
A Closer Look at Self-Supervised Lightweight Vision Transformers Shaoru Wang Jin Gao Zeming Li Jian Sun Weiming Hu ViT 67 41 0 28 May 2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation Yixuan Wei Han Hu Zhenda Xie Zheng-Wei Zhang Yue Cao Jianmin Bao Dong Chen B. Guo CLIP 88 124 0 27 May 2022
MUSIQ: Multi-scale Image Quality Transformer Junjie Ke Qifei Wang Yilin Wang P. Milanfar Feng Yang 174 628 0 12 Aug 2021