Albhox's Projects
Define your release steps 🚀
[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Annotation webapp (javascript) used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019
This is accompanying code for our JCGT / I3D paper, "A Dataset and Explorer for 3D Signed Distance Functions".
GitHub repository for the SecureDrop whistleblower platform. Do not submit tips here!
self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"
A course for getting started with geometry processing using MATLAB and gptoolbox
[CVPR'20] SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
Implementation of "Learning to Shadow Hand-drawn Sketches" CVPR 2020 (Oral)
Learning to Infer and Execute 3D Shape Programs (ICLR 2019)
Public code release for our Siggraph Asia 2020 paper: ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
Generative Adversarial Networks and Autoencoders for 3D Shapes
ShapeNet Viewer
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)
An open collection of 3D mechanical brackets and structural simulations used for machine learning and geometry processing tasks
A library for 3D visualization with moderngl
A dataset of 15 million CAD sketches with geometric constraint graphs.
Speckle Client for Dynamo
Speckle Server 🚀
A hackable BIM viewer for the web
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Project for Deep Learning Based Recognition of various Sporting Shots. We have started with tennis. The goal is to find common patterns in various sports and see if transfer learning helps in improving classification