Pinned Repositories
3D_Pose_Estimation_CVPR2016
amonszpart.github.io
depth-hints
Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
footprints
Estimation of the visible and hidden traversable space from a single color image – CVPR 2020
iMapper
iMapper: Interaction-guided Scene Mapping from Monocular Videos
KinfuSuperRes
intrinsic
QCQPcpp
QCQP abstraction, with interface to Mosek
RAPter
RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes, SIGGRAPH 2015
SegmentFH
C++ Wrapper for the super-pixelisation library from [Felzenszwalb and Huttenlocher 2004] from http://cs.brown.edu/~pff/segment/
SMASH
SMASH: Physics-guided Reconstruction of Collisions from Videos, SIGGRAPH Asia 2016
amonszpart's Repositories
amonszpart/RAPter
RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes, SIGGRAPH 2015
amonszpart/iMapper
iMapper: Interaction-guided Scene Mapping from Monocular Videos
amonszpart/SMASH
SMASH: Physics-guided Reconstruction of Collisions from Videos, SIGGRAPH Asia 2016
amonszpart/KinfuSuperRes
intrinsic
amonszpart/QCQPcpp
QCQP abstraction, with interface to Mosek
amonszpart/SegmentFH
C++ Wrapper for the super-pixelisation library from [Felzenszwalb and Huttenlocher 2004] from http://cs.brown.edu/~pff/segment/
amonszpart/3D_Pose_Estimation_CVPR2016
amonszpart/amonszpart.github.io
amonszpart/depth-hints
Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
amonszpart/footprints
Estimation of the visible and hidden traversable space from a single color image – CVPR 2020
amonszpart/Ansible
Ansible roles
amonszpart/apr
amonszpart/deepcut-cnn
CNN architecture for articulated human pose estimation
amonszpart/deeppose
DeepPose implementation by Chainer
amonszpart/geometry-tools
amonszpart/imusim
IMUSim - see http://www.imusim.org/
amonszpart/kornia
Open Source Differentiable Computer Vision Library for PyTorch
amonszpart/LargeScaleNeRFPytorch
1. Non-official implementation of Block-NeRF and Mega-NeRF in Pytorch. 2. Train your large-scale NeRF in the wild. 3. Weekly classified NeRF literature.
amonszpart/Lifting-from-the-Deep-release
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
amonszpart/MCGraph
Multi-criteria graph representation for 3D scene-understanding
amonszpart/nerf
Code release for NeRF (Neural Radiance Fields)
amonszpart/OpenLeap
An initiative for an open source driver for the Leap Motion sensor.
amonszpart/pycolmap
Python bindings for COLMAP
amonszpart/pye57
Read and write e57 point clouds from Python
amonszpart/RAPterDeps
globOptDependencies
amonszpart/scisim
A 2D and 3D rigid body simulation framework with a focus on preserving core physical properties.
amonszpart/spatial-transformer-tensorflow
Spatial Transformer Networks with Affine, Projective and Elastic Transformations in Tensorflow
amonszpart/Technique-iOS
A simple implementation of SCNTechnique
amonszpart/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.