Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate

19 April 2023

Songhua Liu

Papers citing "Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate"

7 / 7 papers shown

Title
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation Yonglin Li Jing Zhang Xiao Teng Long Lan VOS VLM 13 16 0 03 Jul 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 25 89 0 14 May 2023
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer Serin Yang Hyunmin Hwang Jong Chul Ye DiffM 75 53 0 15 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer Songhua Liu Tianwei Lin Dongliang He Fu Li Meiling Wang Xin Li Zhengxing Sun Qian Li Errui Ding 111 296 0 08 Aug 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration Lu Sheng Ziyi Lin Jing Shao Xiaogang Wang 164 292 0 10 May 2018