Exploring the intersection of Artificial Intelligence and Fashion, We aim to create innovative solutions that combine cutting-edge technology and style.
As, StyleGAN has the ability to generate high-quality images which could be used for digital fashion prototypes & presentations, giving designers the ability to explore different design options. But remember, it can't replace human creativity & artistic vision! #FashionDesign
As, StyleGAN has the ability to generate high-quality images which could be used for digital fashion prototypes & presentations, giving designers the ability to explore different design options. But remember, it can't replace human creativity & artistic vision! #FashionDesign
The StyleGAN is a type of Generative Adversarial Network (GAN) that is used to create high-quality pictures. It works by gradually improving both the generator and discriminator models, starting with small pictures and eventually creating larger ones.
#AI#deeplearning#network
The StyleGAN generator uses two new sources of randomness, called standalone mapping channels and noise layers, instead of taking an input from the potential range, to create synthetic images.
A venture that doesn't create value for others is a hobby, doesn't attract attention is a flop, doesn't sell the value it creates is a nonprofit, doesn't deliver what it promises is a scam, doesn't bring in enough money to keep operating will inevitably close.
#business#venture
ARTIFICIAL GENERAL INTELLIGENCE:
The representation of generalized human cognitive abilities in Software so that, when faced with an unfamiliar task, the AGI system can find a solution. In other words, the ability of AI to learn in the same fashion as humans.
#AI#intelligence
Artificial Super Intelligence (ASI) is an AI system that is well-aware & intelligent enough to surpass the cognitive abilities of humans.
Also known as, A form of AI capable of surpassing human intelligence by manifesting cognitive skills & developing thinking skills of its own.
ARCore SDK enables APIs with all important AR features, such as motion tracking, environmental understanding & light estimation. With the help of this SDK, it is possible to build amazing AR experiences & enhance existing applications with AR features.
#AR#VR#SDK#programming
The value you create can take on one of the several different forms, but the purpose is always the same: to make someone else's life a little bit better.
Without value creation, a business can't exist-- you can't transact with others unless you have something valuable to trade.
Perform object collision using ray casting method followed by cloth constraint satisfaction to conserve inner particle distance.
With the help of these steps, proper knowledge and resources there is a possibility that any cloth can be converted into 3D.
#Algorithm
3D clothes from images can be created using only 2 view points.
Obtain back and front image.
then employ background subtraction using the histogram analysis, then obtain object contours using edge detection algorithms.
#Algorithm#conputervision
Extrapolate data points within the object boundary & perform triangulation to form a 2D-Object.
Then, obtain stitching points from the user through a graphical user interface.
Align the 2D object onto a reference human model.
#Algorithm#conputervision
Every successful business provides something of value that other people want or need at a price they're willing to pay, in a way that satisfies the user's expectation and provides the business sufficient revenue to make it worthwhile for the owners to continue operation.
Collaborating with AI, GANs can provide more personalized designs & meet customers special requirements by learning from the online database & customer's private information & interests.
#MachineLearning#AI#Database#shadaw
Generative Adversarial Network (GANs) are identified as a special kind of machine learning. The generative model works as a generator that learns from pictures in the databases & creates new images by itself.
#shadaw#ArtificialIntelligence#ai#MachineLearning#computervision
The 3-D garments are reconstructed by the multi-garment net(MGN) to generate UV-mapping & remapped into the human model with motion capture as surface shapes (AMASS) dataset.
#AI#MachineLearning#ComputerVision#shadaw
The 3D facial reconstruction can be created using the morphable facial model by Principal Component Analysis(PCA) and the LS3D-W Database.
#MachineLearning#AI#ComputerVision#shadaw
A framework to generate the realistic 3D human from a single RGB image via machine learning is composed of an end-to-end 3D reconstruction neutral network with a Skinned multi-person linear model (SMPL) by the generative adversarial Network (GANs).
#MachineLearning#ai#shadaw
3-D reconstruction and modelling of the human body from images is a central open problem in computer vision, yet remains a challenge using machine learning techniques.
#computervision#machinelearning#ArtificialIntelligence