Stars
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Dense Gaussian Processes for Few-Shot Segmentation
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
chenyuntc / cmr
Forked from akanazawa/cmrProject repo for Learning Category-Specific Mesh Reconstruction from Image Collections (Python3/PyTorch)
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
A list of papers and datasets about point cloud analysis (processing)
Registration Loss Learning for Deep Probabilistic Point Set Registration
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
An introduction to deep learning with PyTorch.
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
Information and organization of the STIMA Machine Learning Reading Group
[CVPR 2020 Oral] A differentiable framework for 3D registration
Go-ICP for globally optimal 3D pointset registration
[CVPR2020] Learning multiview 3D point cloud registration
Visual tracking library based on PyTorch.
Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation
Implementations of the robust point set registration algorithm described in "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern…
PyTorch implementation of the paper "A Generative Appearance Model for End-to-End Video Object Segmentation".
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"
Code for offline processing and evaluation of depth processing algorithms for the Kinect v2
Matlab implementation of the ECO tracker.