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Style matching CAPTCHA: match neural transferred styles to thwart intelligent attacks
Completely automated public turing test to tell computers and humans apart (CAPTCHA) is widely used to prevent malicious automated attacks on various...
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Controlling strokes in fast neural style transfer using content transforms
Fast style transfer methods have recently gained popularity in art-related applications as they make a generalized real-time stylization of images...
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Evolving Neural Style Transfer Blends
Neural style transfer is an image filtering technique used in both digital art practice and commercial software. We investigate blending the styles...
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Artistic style decomposition for texture and shape editing
While methods for generative image synthesis and example-based stylization produce impressive results, their black-box style representation...
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Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Face presentation attack detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress...
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Style Image Harmonization via Global-Local Style Mutual Guided
The process of style image harmonization is attaching an area of the source image to the target style image to form a harmonious new image. Existing...
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Attention adaptive instance normalization style transfer for vascular segmentation using deep learning
AbstractDeep learning models have demonstrated substantial progress in medical image segmentation. However, these models require large datasets for...
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Arbitrary style transfer system with split-and-transform scheme
For the subject of arbitrary image style transfer, there have been some proposed architectures that directly compute the transformation matrix of the...
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Refined-mask guided multi-stream blending network
Image composition is a challenging image editing operation that targets the compositing of a new image by combining cropped regions from different...
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Hierarchical vectorization for facial images
The explosive growth of social media means portrait editing and retouching are in high demand. While portraits are commonly captured and stored as...
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MixStyle-Based Dual-Channel Feature Fusion for Person Re-Identification
The problem of Person Re-Identification is still a big challenge, as the complex network structure and unsatisfactory generalization performance of...
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CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Large-scale contrastive vision-language pretraining has shown significant progress in visual representation learning. Unlike traditional visual...
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SemanticStyleGAN: Generative Image Inpainting Using Style-Based Generator
Image inpainting, a task of reconstructing missing or corrupted image regions, has a great potential to advance the fields of image editing and...
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Sketch-to-image synthesis via semantic masks
Sketch-to-image is an important task to reduce the burden of creating a color image from scratch. Unlike previous sketch-to-image models, where the...
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Text-Driven Stylization of Video Objects
We tackle the task of stylizing video objects in an intuitive and semantic manner following a user-specified text prompt. This is a challenging task...
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Weak Segmentation-Guided GAN for Realistic Color Edition
Editing the color of images in a realistic way finds many applications such as changing the perception of an image, data augmentation or film post...
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Contrastive disentanglement for self-supervised motion style transfer
Motion style transfer, which aims to transfer the style from a source motion to the target while kee** its content, has recently gained...
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Generate, transform, and clean: the role of GANs and transformers in palm leaf manuscript generation and enhancement
Palm leaf manuscripts offer a rich source of data critical for document analysis tasks, including character, word, and text analysis. However, their...
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FaceMix: Transferring Local Regions for Data Augmentation in Face Recognition
Augmentation strategies for image recognition based on local image patches have gained widespread popularity. Their main idea is to replace or remove...
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Detecting sparse building change with ambiguous label using Siamese full-scale connected network and instance augmentation
Building change detection (CD) is an important remote sensing technology with abundant application scenarios. However, the sparsity of building...
