Albhox's Projects
The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf
A resource repository for 3D machine learning
Particle animation explorations in 3D space with three.js
3D Point Capsule Networks
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
A list of recent papers, libraries and datasets about 3D shape/geometry analysis (by topics, updating).
3DGAN-Pytorch
The data skeleton from "3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera" http://3dscenegraph.stanford.edu
ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021
AEC Deltas Specification
List of AEC Startups
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
This repository contains the source codes for the paper "AtlasNet: A Papier-MΓ’chΓ© 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.
Google Brain AutoML
A curated list of deep learning resources for computer vision
A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision
A curated list of awesome READMEs
:books: A collection of sketch based application papers.
Demo bear classifier with fastai and Voila
Blog
Blender addons to make the bridge between Blender and geographic data
A procedural Blender pipeline for photorealistic training image generation
Information for readers of the fastai book
[SIGGRAPH 2024] Official PyTorch Implementation of "BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry".
PyTorch 1.2 implementation of BSP-NET.