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Single/multi view image(s) to voxel reconstruction using a recurrent neural network
This is the PyTorch implementation of the ICCV 2021 paper Sketch2Mesh. We provide pre-trained networks and code for demonstrating our global differentiable refinement procedure of 3D shapes from 2D sketches.
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.
By Chengjie Niu, Jun Li, Kai Xu.
The main features of chengjieniu/im2struct are: Object Reconstruction.
Projects with overlapping indexed features include: chaene/hsp — Install torch. 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). dali-jack/ssr-code — Yixin Chen , Junfeng Ni , Nan Jiang , Yaowei Zhang , Yixin Zhu , Siyuan Huang. boschresearch/hierarchicalpriornetworks — Official PyTorch implementation of the CVPR 2021 paper "Fostering Generalization in Single-view 3D Reconstruction by…
