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Srinath Sridhar 1 , Davis Rempe 1 , Julien Valentin 2 , Sofien Bouaziz 2 , Leonidas J. Guibas 1,3 1 Stanford University , 2 Google Inc. , 3 Facebook AI Research
The main features of drsrinathsridhar/xnocs are: Object Reconstruction.
Projects with overlapping indexed features include: chaene/hsp — Install torch. chengjieniu/im2struct — By Chengjie Niu, Jun Li, Kai Xu. chrischoy/3d-r2n2 — Single/multi view image(s) to voxel reconstruction using a recurrent neural network. cvlab-epfl/sketch2mesh — This is the PyTorch implementation of the ICCV 2021 paper Sketch2Mesh. We provide pre-trained networks and code for… cvlab-epfl/uclid-net — This repository is the official implementation of UCLID-Net: Single View Reconstruction in Object Space (NeurIPS 2020). boschresearch/hierarchicalpriornetworks — Official PyTorch implementation of the CVPR 2021 paper "Fostering Generalization in Single-view 3D Reconstruction by…
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
Official PyTorch implementation of the CVPR 2021 paper "Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors". Please cite our paper and the original Occupancy Networks (Mescheder et al.) if you use this work.
