[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 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:** 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: 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 Image stitching is the process of combining multiple images with overlapping sections to produce a single panoramic image. This technique has found widespread applications in various fields such as virtual reality, surveillance, and…
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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 Instance segmentation is a computer vision task that aims to detect individual object instances in an image and classify each pixel as belonging to a particular object category. This process is crucial for…
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