fangchangma

ml-gmpi

Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

fangchangma.github.io

Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

invert-generative-networks

NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

sparse-depth-sensing

IROS'16/IJRR "Sparse Sensing for Resource-Constrained Depth Reconstruction"

fangchangma/self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

fangchangma/sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

fangchangma/sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

fangchangma/invert-generative-networks

NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"

fangchangma/fangchangma.github.io

fangchangma/Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

fangchangma/IBRNet

fangchangma/pykitti

Python tools for working with KITTI data.

fangchangma/pyrender

Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

fangchangma/splat

WebGL 3D Gaussian Splat Viewer