palanglois

awesome-planar-reconstruction. A curated list on piecewise-planar reconstruction

vasad. VASAD: a Volume and Semantic dataset for Building Reconstruction from Point Clouds

VICRegL. VICRegL official code base

LC2WF. Python

line-surface-reconstruction. Implementation for the "Surface Reconstruction from 3D Line Segments" paper.

3DVAE-SwapDisentangled. Code of "3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces"

libCML. Concurrent Mapping and Localization Library

TEMOS. Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)

template-pose. [CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper

unicorn. (ECCV 2022) Code for Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

NeeDrop. NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping

AbFab3D. 3D Printing Toolkit

ImageCollation. Python

wild_deep_mvs. Code release of paper "Deep Multi-View Stereo gone wild"

wavelet-monodepth. [CVPR 2021] Monocular depth estimation using wavelets for efficiency

dti-sprites. (ICCV 2021) Code for "Unsupervised Layered Image Decomposition into Object Prototypes" paper

docExtractor. (ICFHR 2020 oral) Code for "docExtractor: An off-the-shelf historical document element extraction" paper

dti-clustering. (NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

netvision. JavaScript

CycleConsistentDeformation. This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".

AtlasNetV2. This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.

PoseFromShape. (BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"

3D-R2N2. Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3D-CODED. Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

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.