[ad_1] Introduction: In recent years, there has been a significant growth in the use of avatars in various applications such as virtual reality, gaming, and online communication. One of the key components in creating realistic…
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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: 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: The field of 3D shape retrieval has gained significant attention in recent years due to the increasing availability of 3D shape data in various applications such as computer-aided design, virtual reality, and augmented…
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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:** Image denoising is a crucial task in the field of image processing and computer vision, aimed at reducing noise from images to enhance their visual quality and improve their analysis and interpretation. Noise…
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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 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] Thesis Overview: Title: Optical flow estimation for motion analysis Introduction: In the field of computer vision, optical flow estimation is a critical task that involves tracking the movement of objects in a sequence of…
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[ad_1] Introduction Object detection for localization and classification is a crucial task in the field of computer vision and machine learning. It involves the identification and precise location of objects within an image or video,…
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