Consistent Arbitrary Style Transfer Using Consistency Training and Self-Attention Module
Arbitrary style transfer (AST) has garnered considerable attention for its ability to transfer
styles infinitely. Although existing methods have achieved impressive results, they may …
styles infinitely. Although existing methods have achieved impressive results, they may …
Adaptive style transfer using sisr
Style transfer is the process that aims to recreate a given image (target image) with the style
of another image (style image). In this work, a new style transfer scheme is proposed that …
of another image (style image). In this work, a new style transfer scheme is proposed that …
A fine-grained image classification method combining yolov7 and bilinear multi-level feature fusion
M Huang, Z Wang, S Zhu - Proceedings of the 2022 11th International …, 2022 - dl.acm.org
Fine grain image is an important research field of image recognition, which can classify
objects in more detail. Image feature extraction is usually implemented by bilinear network …
objects in more detail. Image feature extraction is usually implemented by bilinear network …
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Abstract Painting classification plays a vital role in organizing, finding, and suggesting
artwork for digital and classic art galleries. Existing methods struggle with adapting …
artwork for digital and classic art galleries. Existing methods struggle with adapting …
Real-Time Data-Efficient Portrait Stylization Via Geometric Alignment
X Wang, Z Li, X Yin, X Zhou, Y Iwasawa… - Available at SSRN … - papers.ssrn.com
Portrait Stylization aims to imbue input face photos with vivid artistic effects drawn from style
examples. Despite the availability of enormous training datasets and large network weights …
examples. Despite the availability of enormous training datasets and large network weights …