Shape Representation By Zippables

Hackaday Prize Best Product Finalist: Reconfigurable Robots http://ift.tt/2uB4Acd

UCLA unveils augmented reality teaching sandbox that lets you sculpt mountains, canyons and rivers, then fill them with water or even create erupting volcanoes.

Example-based Face Stylization - Web Demo

DCGI and Adobe Research have put up an online interactive demo of their stylized facial animation paper.

Just drag and drop an image with a face into it, select one of the styles on the right, hit ‘Submit’ and see what happens …

Try it out for yourself here

Doodle Studio 95

Project from Fernando Ramallo is a drawing and animation tool for Unity with simple interfaces to create assets for games and interactive experiences, a bit like Flash but in 2.5D:

DOODLE STUDIO 95 is a FUN drawing and animation tool for Unity.

Doodle an animation without leaving the Editor and turn your drawings into sprites, UI elements, particles or textures, with a single click.

Features

Draw inside the Unity Editor

Easy presets for backgrounds, characters and UI elements

Example scenes with 2.5D characters, foliage, speech bubbles and transitions, with reusable scripts

Draw and animate inside the Scene View (beta)

Shadow-casting shaders

Don’t think about materials or image formats, it Just Works.

Five Symmetry modes

Record mode adds frames as you draw

Record a sound with a single click! Boop!

Easy API for using animations with scripts

Convert to sprite sheets or GIFs

…and more

You can find out more here, and even try out a browser-based interactive tour here

The artificial intelligence boom is here. Here’s how it could change the world around us.

A future with highways full of self-driving cars or robot friends that can actually hold a decent conversation may not be far away.

That’s because we’re living in the middle of an “artificial intelligence boom” — a time when machines are becoming more and more like the human brain.

That’s partly because of an emerging subcategory of AI called “deep learning.” It’s a process that’s often trying to mimic the human brain’s neocortex, which helps humans with language processing, sensory perception and other functions

From allowing us to be understand the Earth’s trees to teaching robots how to understand human life, deep learning is changing our world. Read more (5/26/17)

follow @the-future-now​

“ Promise you won’t leave without me.”

Face Maker

iOS app by Tim Sears for iPhone X lets you make your own Augmented Reality face masks which you can draw or import an image from your camera roll:

Face Maker Augmented Augmented is an exciting new way to shape the face around you. Using the TrueDepth camera technology of the iPhone X, along with new capabilities of ARKit, you can create incredible face experiences like never before.

More Here

Hey, he is running away….????? #love #instagood #photooftheday #beautiful #fashion #happy #tbt #cute #followme #like4like #selfie #summer #fun #smile #style #amazing #sun #bestoftheday #pretty #cool #funny #ootd #potd #holiday #lifestyle #일상 #sweet #happiness #awesome #travel

3D Face Reconstruction from a Single Image

Machine Learning research from University of Nottingham School of Computer Science can generate a 3D model of a human face from an image using neural networks:

3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from the same subject) as input, and must address a number of methodological challenges such as establishing dense correspondences across large facial poses, expressions, and non-uniform illumination. In general these methods require complex and inefficient pipelines for model building and fitting. In this work, we propose to address many of these limitations by training a Convolutional Neural Network (CNN) on an appropriate dataset consisting of 2D images and 3D facial models or scans. Our CNN works with just a single 2D facial image, does not require accurate alignment nor establishes dense correspondence between images, works for arbitrary facial poses and expressions, and can be used to reconstruct the whole 3D facial geometry (including the non-visible parts of the face) bypassing the construction (during training) and fitting (during testing) of a 3D Morphable Model. We achieve this via a simple CNN architecture that performs direct regression of a volumetric representation of the 3D facial geometry from a single 2D image. We also demonstrate how the related task of facial landmark localization can be incorporated into the proposed framework and help improve reconstruction quality, especially for the cases of large poses and facial expressions.       

There is an online demo which will let you upload an image to convert and even save as a 3D model here

Link

Strange backyard sale

VR Artist Anna Zhilyaeva shares her first creation made with Tiltbrush in 2018:

This is my first Tilt Brush painting of 2018. I tried to make her look good from every angle while keeping the painting style.

You can view Anna’s work on Google Poly here

Link