[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 Image-to-image translation, also known as image synthesis, is a growing field in computer vision and machine learning that focuses on transforming an input image from one domain to another. Domain adaptation, on the…
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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 compression is a crucial aspect of modern technology as it allows for the efficient storage and transmission of digital images. With the increasing use of images in various applications such as social…
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[ad_1] Introduction: Super-resolution is a crucial technique in the field of image processing that aims to enhance the quality of an image by increasing its resolution beyond the limits of the original image. This technique…
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[ad_1] Introduction Feature matching is a fundamental task in computer vision and image processing, with applications ranging from medical imaging to robotics and augmented reality. Image registration, which involves aligning two or more images of…
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[ad_1] Introduction Place recognition is a crucial aspect of loop closure detection in the field of robotics and computer vision. It involves identifying previously visited locations to improve the accuracy of robot localization and mapping…
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[ad_1] Introduction Simultaneous Localization and Mapping (SLAM) is a crucial technology for autonomous navigation systems, allowing robots to understand their surroundings and navigate in unknown environments. With the increasing demand for autonomous vehicles and drones,…
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