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3d-shape-generation-using-3d-gans icon 3d-shape-generation-using-3d-gans

An implementation of the paper "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversial Modelling" by Wu (et al) presented at NIPS 2016. The paper introduces 3D GANs, which leverages volumetric convolutional networks and vanilla GANs to produce 3D objects from a probabilistic space. This implementations uses python and the Keras framework to build the 3D GAN Architecture.

adopt-me icon adopt-me

Learning project from FrontendMasters.com - Complete Intro to React, v5

fastslam_masters icon fastslam_masters

3 Implementations of varied versions of FastSLAM solution to then SLAM problem

pifu icon pifu

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

web-scraper icon web-scraper

Repository of scripts to scrape images from the web for AI sculpture project

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