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Abstract: Super-resolution (SR) aims to restore a high-resolution (HR) image from its low-resolution (LR) counterpart. Existing works try to achieve an overall average recovery over all regions to ...
THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis
Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
Deploy this example to create a 3D object reconstruction workflow that transforms stereo video input into high-quality 3D assets using state-of-the-art computer vision and neural rendering techniques.
All the reported results are obtained from a single Nvidia RTX 4090 GPU. Abstract: Recent advancements in 3D Gaussian Splatting have significantly improved the efficiency and quality of dense semantic ...
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