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johannah/mono-depth: learning depth from a single image
[25 commits @ 4 days - 49 hours ago]
(github.com)
3d-space
domain-image
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upconvolution-fully-convolutional
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facebook/C3D: C3D is a modified version of BVLC caffe to support 3D ConvNets.
[13 commits @ 9 months - 87 days ago]
(github.com)
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ankurhanda/gvnn: gvnn: Geometric Vision with Neural Networks
[56 commits @ 56 days - 2 hours ago]
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xiaolonw/ss-gan: Style and Structure GAN (ECCV 2016)
[66 commits @ 14 days - 12 days ago]
(github.com)
3d-space
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generative
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See also:
Papers:
Generative Image Modeling using Style and Structure Adversarial Networks - Xiaolong Wang, Abhinav Gupta (ECCV 2016)
(arxiv.org)
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btgraham/SparseConvNet: Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices. https://github.com/btgraham/Spar
[154 commits @ 15 months - 4 days ago]
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jal278/fobj: Code for Creative Generation of 3D Objects with Deep Learning and Innovation Engines
[8 commits @ 9 months - 20 days ago]
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jingdao/object_completion: 3D Model completion from ModelNet10 dataset.
[30 commits @ 81 days - 44 days ago]
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yeahrmek/3dShapeNets: 3dShapeNets
[9 commits @ 7 months - 5 months ago]
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taxpon/pymesh: Library for manipulating (Translate, Rotate and Scale) 3D data using numpy. Currently, this library supports STL & OBJ.
[10 commits @ 8 months - 8 months ago]
(github.com)
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charlesq34/3dcnn.torch: Volumetric CNN for feature extraction and object classification on 3D data. http://graphics.stanford.edu/projects/3dcnn/
[2 commits @ 56 days - 40 days ago]
(github.com)
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ShapeNet/RenderForCNN: Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
[5 commits @ 8 months - 54 days ago]
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adbrebs/brain_segmentation: Segment 3D MRIs of the brain into anatomical regions
[64 commits @ 25 months - 16 months ago]
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mapillary/OpenSfM: Open Source Structure from Motion pipeline
[946 commits @ 30 months - 8 days ago]
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jimeiyang/deepRotator: This is the code for NIPS15 paper "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis"
[18 commits @ 50 days - 7 days ago]
(github.com)
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ianlcassidy/activity-identification: activity-identification repo
[2 commits @ 7 months - 98 days ago]
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zrispo/yobi3dripper: Sneaky way to mass download 3D models from Yobi3D
[17 commits @ 7 months - 72 days ago]
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ELEKTRONN/ELEKTRONN: ELEKTRONN is a highly configurable toolkit for training 3d/2d CNNs and general Neural Networks
[74 commits @ 3 months - 4 days ago]
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jzbontar/mc-cnn: Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
[25 commits @ 6 months - 44 days ago]
(github.com)
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hunse/kitti: Tools for working with the KITTI dataset in Python
[14 commits @ 20 months - 11 months ago]
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yanii/kitti-pcl: Code to use the KITTI (http://www.cvlibs.net/datasets/kitti) data set with PCL
[1 commit @ 46 months ago]
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nhammerla/ecdfRepresentation: ECDF representation for accelerometer data
[3 commits @ 13 months - 7 months ago]
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piiswrong/deep3d: Deep3D: Automatic 2D-to-3D Video Conversion with CNNs
[5 commits @ 73 hours - 27 minutes ago]
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LouisFoucard/StereoConvNet: Stereo convolutional neural network for depth map prediction from stereo images
[54 commits @ 98 days - 10 hours ago]
(github.com)
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LouisFoucard/DepthMap_dataset: Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.
(github.com)
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danfischetti/shape-encoder: Encodes multiple viewpoints of a 3D object into a single tensor, which can be decoded with a viewpoint dependent transformation.
[4 commits @ 21 hours - 7 hours ago]
(github.com)
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dimatura/voxnet: 3D/Volumetric Convolutional Neural Networks with Theano+Lasagne
(github.com)
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