Voxel super-resolutionThe task of reconstructing detailed 3D human body models from images is interesting but challenging in computer vision due to the high freedom of human bodies. This work proposes a coarse-to-fine method to reconstruct detailed 3D human body from multi-view images combining ...
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This deep-learning LSFM method achieves 1 m3 voxel resolution over 22 mm3 volume without the need of either tile stitching or multi-frame super-resolution processing. Thus, it shows ultra-high throughput for volumetric imaging of whole organisms, quickly reconstructing tens of giga-voxel higher-...
Update document in the package. [2018-02-23] Set parent of all sub-meshes to the armature automatically. [2018-02-05] Multiple sub-meshes can bind to one armature. [2018-01-20] Fix an install bug. [2018-01-15] Make the add-on compatible with Auto-Rig Pro. ...
- Multiple optimizations factors (Full or Half resolution rendering of the effect - Low, High and Insane voxel resolution options - Cones number and lighting calculations steps - Update per a number of seconds or per distance travelled) - Easy setup, a single script on camera...
Advances in deep learning have led to remarkable success in augmented microscopy, enabling us to obtain high-quality microscope images without using expensive microscopy hardware and sample preparation techniques. Current deep learning models for augment
The expansion path consisted of 3 × 3 × 3 convolution and deconvolution, each followed by rectified linear units and recovered feature maps into high-resolution images by copying and concatenating the feature maps from the contracting path. The number of feature maps in the first layer...
[int]Resolution of voxels in each domainnodes : List[Node]List of Modulus Nodes to unroll graph with.output_names : List[str]List of desired outputs.export_map : Dict[str, List[str]], optionalExport map dictionary with keys that are VTK variables names and values that are lists...
The model is voxelized at double resolution and then downscaled. Supersampling will usually produce slightly more voxels. Supersampling can improve color accuracy by voxelizing at a higher resolution and blending multiple voxels. In this comparison, the right cow is supersampled: -j/--threads <...
A novel 3D point cloud segmentation algorithm based on multi-resolution supervoxel and MGS 2021, International Journal of Remote Sensing Clustering-based plane refitting of non-planar patches for voxel-based 3d point cloud segmentation using k-means clustering 2020, Traitement du Signal Origin traceabili...