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<p>A Holistic Benchmark and a Solid Baseline for 360o Depth Estimation <br></p>
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<p>A multimodal UAV assistant dataset</p>
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<a href="https://github.com/VCL3D/DronePose" class="text-black" target="_blank">Drone Pose</a></p>
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<p>Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss</p>
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<a href="https://vcl.iti.gr/dataset/human4d/" class="text-black text-primary" target="_blank">HUMAN4D: A Human-centric Multimodal Dataset for Motions & Immersive Media</a></p>
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<p>Contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system.</p>
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<a href="https://github.com/VCL3D/3D60" class="text-black" target="_blank">3D60 Dataset</a></p>
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<p>3D Vision Indoors Spherical Panoramas</p>
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<a href="https://github.com/VCL3D/3D60" target="_blank">
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<p class="mbr-fonts-style display-5">
<a href="https://github.com/VCL3D/DeepDepthDenoising" class="text-black" target="_blank">Deep Depth Denoising</a></p>
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<p>Pre-trained models for Intel RealSense D415 </p>
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<a href="https://github.com/VCL3D/DeepDepthDenoising" target="_blank">
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<p class="mbr-fonts-style display-5">
<a href="https://github.com/VCL3D/DeepPanoramaLighting" class="text-black text-primary" target="_blank">Deep Panorama Lighting</a></p>
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<p>Deep Lighting Environment Map Estimation from Spherical Panoramas</p>
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<div class="item-social pt-2">
<a href="https://github.com/VCL3D/DeepPanoramaLighting" target="_blank">
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<a href="https://github.com/VCL3D/HyperSphereSurfaceRegression" class="text-black" target="_blank">Hyper Sphere Surface Regression</a></p>
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<p>Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019</p>
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<a href="https://github.com/VCL3D/AVoidX" class="text-black" target="_blank">AVoidX - An Augmented VR Game</a></p>
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<p>Blending the real and the virtual through real-time volumetric capture</p>
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<a href="https://github.com/VCL3D/fast_precise_hippocampus_segmentation_cnn" class="text-black" target="_blank">Fast precise hippocampus segmentation</a></p>
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<p>Fast and precise hippocampus segmentation through deep convolutional neural network ensembles and transfer learning</p>
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<p class="mbr-fonts-style display-5"><a href="https://github.com/VCL3D/VolumetricCapture" class="text-black">Volumetric Capture</a><br></p>
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<p>A multi-sensor capture system for free viewpoint video<br></p>
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<p class="mbr-fonts-style display-5"><a href="https://vcl.iti.gr/dataset/datasets-of-multiple-kinect2-rgb-d-streams-and-skeleton-tracking/" class="text-black" target="_blank">Datasets of multiple Kinect2 RGB-D Streams and skeleton tracking</a><br></p>
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<p>The data were obtained using two different capturing setups, both with multiple Kinects2 in a circular configuration<br></p>
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<p class="mbr-fonts-style display-5"><a href="https://vcl.iti.gr/dataset/reconstruction/" class="text-black" target="_blank">Datasets of multiple Kinects-based 3D reconstucted meshes</a><br></p>
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<p>Three different capturing setups are realized, each with 5 Kinects in a circular configuration</p>
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<p class="mbr-fonts-style display-5"><a href="https://vcl.iti.gr/dataset/the-certhiti-dataset-of-kinect-based-3d-scans/" class="text-black" target="_blank">The CERTH/ITI Dataset of Kinect-based 3D Scans</a><br></p>
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<p>The CERTH/ITI dataset of Kinect-based 3D scans<br></p>
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<p class="mbr-fonts-style display-5"><a href="https://vcl.iti.gr/dataset/dataset-of-multiple-kinect2-rgb-d-streams/" class="text-black text-primary" target="_blank">Dataset of multiple Kinect2 RGB-D STREAMS </a><br></p>
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<p>The dataset was recorded with a multi-Kinect2 capturing setup in a circular configuration<br></p>
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