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FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using
  Style Representations
v1v2v3v4 (latest)

FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representations

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
7 October 2022
Ananda Padhmanabhan Suresh
Sanjana Jain
Pavit Noinongyao
Ankush Ganguly
Ukrit Watchareeruetai
Aubin Samacoits
    CLIP
ArXiv (abs)PDFHTMLGithub

Papers citing "FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representations"

3 / 3 papers shown
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Kornel Howil
Joanna Waczyñska
Piotr Borycki
Tadeusz Dziarmaga
Marcin Mazur
Przemysław Spurek
3DGSCLIP
425
6
0
28 May 2025
StyleMamba : State Space Model for Efficient Text-driven Image Style
  Transfer
StyleMamba : State Space Model for Efficient Text-driven Image Style TransferEuropean Conference on Artificial Intelligence (ECAI), 2024
Zijia Wang
Zhi-Song Liu
Mamba
243
10
0
08 May 2024
MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP
MOSAIC: Multi-Object Segmented Arbitrary Stylization Using CLIP
Prajwal Ganugula
Y. Kumar
N. Reddy
Prabhath Chellingi
A. Thakur
Neeraj Kasera
C. S. Anand
CLIPDiffM
200
4
0
24 Sep 2023
1
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