Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
awesome-scene-understanding
😎 A list of awesome scene understanding papers.
Structured3D
[ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
3d-deep-learning
3D Deep Learning works
ALIGNet
code to train a neural network to align pairs of shapes without needing ground truth warps for supervision
point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
SampleNet
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
uncertainty_estimation_deep_learning
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in De...
DynSLAM
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
PixelNet
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
Deep-MVLM
A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"