Results 61 to 70 of about 25,108,907 (293)
Recognition of fabric composition of clothing in an image in e-commerce using neural networks
Informatika, 2023 Objectives. Development of new approach for recognizing the fabric composition of clothing in e-commerce images by using generative adversarial network(GAN) to generate synthetic images of clothing with known fabric composition, to be used to train the ...
V. V. Sorokina
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StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks [PDF]
IEEE International Conference on Computer Vision, 2016 Synthesizing high-quality images from text descriptions is a challenging problem in computer vision and has many practical applications. Samples generated by existing textto- image approaches can roughly reflect the meaning of the given descriptions, but
Han Zhang +6 more
semanticscholar +1 more source
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis [PDF]
DGM4MICCAI@MICCAIDue to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task. Existing approaches mostly apply patch-wise, slice-wise, or cascaded generation techniques to fit the high-dimensional data ...
Paul Friedrich +4 more
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A Survey of Dense Object Detection Methods Based on Deep Learning
IEEE AccessObject detection based on images or videos is one of computer vision’s most common and practical tasks. In recent years, thanks to the development and advancement of deep learning methods, object detection algorithms and frameworks have made ...
Yang Zhou, Hui Li
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Image-Based Analysis of Dense Particle Mixtures via Mask R-CNN
Eng, 2022 Powders and their mixtures are elemental for many industries (e.g., food, pharmaceutical, mining, agricultural, and chemical). The properties of the manufactured products are often directly linked to the particle properties (e.g., particle size and shape
Max Frei, Frank Einar Kruis
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Score-Guided Generative Adversarial Networks
Axioms, 2022 We propose a generative adversarial network (GAN) that introduces an evaluator module using pretrained networks. The proposed model, called a score-guided GAN (ScoreGAN), is trained using an evaluation metric for GANs, i.e., the Inception score, as a ...
Minhyeok Lee, Junhee Seok
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Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis [PDF]
Computer Vision and Pattern RecognitionDiffusion model is a promising approach to image generation and has been employed for Pose-Guided Person Image Synthesis (PGPIS) with competitive performance. While existing methods simply align the person appearance to the target pose, they are prone to
Yanzuo Lu +4 more
semanticscholar +1 more source
Intelligent Extraction and Accurate Reconstruction of Road Point Cloud for Oblique Photography [PDF]
Jisuanji gongchengWith the rapid development of autonomous driving and smart cities, accurate road point cloud segmentation and reconstruction have become key technological requirements.
GU Yuxuan, WANG Yuran, Lü Zejun, ZHANG Yanci
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Remote Sensing, 2023 With the widespread application and functional complexity of deep neural networks (DNNs), the demand for training samples is increasing. This elevated requirement also extends to DNN-based SAR object detection.
Yi Kuang +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source