[ad_1] Introduction Human pose estimation is a crucial task in computer vision and motion analysis, with applications ranging from action recognition and virtual reality to sports analytics and healthcare monitoring. In recent years, there has…
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[ad_1] Introduction: In recent years, the development of autonomous systems has gained significant attention due to their applications in various fields such as autonomous vehicles, robotics, and surveillance systems. One of the key challenges in…
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[ad_1] Introduction: 3D shape generation is an emerging field in computer science and engineering that involves creating three-dimensional models of objects using computer algorithms. This process is essential in various industries such as gaming, virtual…
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[ad_1] Introduction: Three-dimensional (3D) shape completion is a significant problem in computer vision and graphics, with applications in various fields such as robotics, virtual reality, and medical imaging. The task involves predicting the complete shape…
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[ad_1] Introduction Colorization for monochrome images is a fascinating and challenging topic in the field of image processing and computer vision. The process of adding color to black and white images has been of interest…
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[ad_1] Introduction Style transfer is a fascinating area of research that aims to transform the style of an image while preserving its content. This technique has been widely used in the field of computer vision…
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[ad_1] Introduction Image inpainting is a technique used in the field of computer vision to fill in missing or corrupted parts of an image, making it appear as though the missing portion was never there.…
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[ad_1] Introduction Visual odometry is a key component of visual simultaneous localization and mapping (SLAM) systems, which are used in robotics, computer vision, augmented reality, and autonomous vehicles. Visual odometry refers to the estimation of…
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[ad_1] Introduction Stereo matching is a significant area of research in computer vision and image processing, which aims to estimate the disparity map between a pair of stereo images. Disparity estimation plays a crucial role…
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[ad_1] Introduction: Panoptic segmentation is an emerging research area in computer vision that aims to provide a unified understanding of visual scenes by simultaneously segmenting both objects and stuff classes. Traditional methods in computer vision…
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