| nerfstudio-project/nerfstudio |
7,811 |
|
0 |
0 |
over 2 years ago |
0 |
|
524 |
apache-2.0 |
Python |
| A collaboration friendly studio for NeRFs |
| kwea123/nerf_pl |
2,291 |
|
0 |
0 |
almost 3 years ago |
0 |
|
72 |
mit |
Jupyter Notebook |
| NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning |
| google-research-datasets/Objectron |
1,958 |
|
0 |
0 |
almost 4 years ago |
0 |
|
21 |
other |
Jupyter Notebook |
| Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes |
| shunsukesaito/PIFu |
1,687 |
|
0 |
0 |
over 2 years ago |
0 |
|
53 |
other |
Python |
| This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization" |
| autonomousvision/sdfstudio |
1,633 |
|
0 |
0 |
over 2 years ago |
0 |
|
115 |
apache-2.0 |
Python |
| A Unified Framework for Surface Reconstruction |
| YuliangXiu/ICON |
1,480 |
|
0 |
0 |
over 2 years ago |
0 |
|
35 |
other |
Python |
| [CVPR'22] ICON: Implicit Clothed humans Obtained from Normals |
| gradslam/gradslam |
1,162 |
|
0 |
0 |
almost 3 years ago |
0 |
|
13 |
mit |
Python |
| gradslam is an open source differentiable dense SLAM library for PyTorch |
| kwea123/ngp_pl |
939 |
|
0 |
0 |
almost 3 years ago |
0 |
|
29 |
mit |
Jupyter Notebook |
| Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code) |
| natowi/3D-Reconstruction-with-Deep-Learning-Methods |
653 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
unlicense |
|
| List of projects for 3d reconstruction |
| radekd91/emoca |
554 |
|
0 |
0 |
over 2 years ago |
0 |
|
48 |
other |
Python |
| Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild |
