SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective

16 March 2023

Papers citing "SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective"

6 / 6 papers shown

Title
Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer Yang Wu Kaihua Zhang Jianjun Qian Jin Xie Jian Yang DiffM 44 4 0 29 Jul 2024
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIP Justin N. M. Pinkney Chuan Li CLIP VLM 50 20 0 05 Oct 2022
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer Zijie Wu Zhen Zhu Junping Du Xiang Bai 64 82 0 11 Jul 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 117 299 0 08 Aug 2021
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer Jiaxin Cheng Ayush Jaiswal Yue Wu P. Natarajan Premkumar Natarajan 94 43 0 18 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018