grau4
Computer Vision & Imaging Scientist
iris-Gmbh Intelligent Sensing / Computational Light Transport group, University of Bonn Berlin, Germany
Pinned Repositories
3dgan-release
3D Generative Adversarial Network
AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
neuralangelo
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
nlos-fk
Processing code for "Wave-Based Non-Line-of-Sight Imaging using Fast f-k Migration"
nlos_surface_optimization
Surface optimization through inverse rendering for non-line-of-sight reconstruction.
occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
OpticalNLOSPose_V2
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
pytorch_prototyping
Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)
SPIN
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
grau4's Repositories
grau4/3dgan-release
3D Generative Adversarial Network
grau4/AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
grau4/neuralangelo
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
grau4/nlos-fk
Processing code for "Wave-Based Non-Line-of-Sight Imaging using Fast f-k Migration"
grau4/nlos_surface_optimization
Surface optimization through inverse rendering for non-line-of-sight reconstruction.
grau4/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
grau4/OpticalNLOSPose_V2
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
grau4/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
grau4/pytorch_prototyping
Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)
grau4/SPIN
Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"