The neural network generates images with clothes try on

14 March 2021

The neural network generates images with clothes try on

PF-AFN is a neural network that generates images of people trying on different kinds of clothes. The model accepts an image of a person and an image of a garment…

TransGAN: two Transformer models as one GAN

26 February 2021

TransGAN: two Transformer models as one GAN

TransGAN is a GAN model in which the generator and discriminator are composed of two Transformer architectures. GAN architecture traditionally uses convolutions. In TransGAN, convolutions are replaced with Transformer. The…

JigsawGAN: Generative neural network model solves jigsaw puzzles

11 February 2021

JigsawGAN: Generative neural network model solves jigsaw puzzles

JigsawGAN is a self-supervised generative neural network model that has been trained on a puzzle-solving task. The model accepts chaotically located parts of the image as input and outputs the…

The StyleGAN Code Released: Neural Network for Faces Generation by NVIDIA

18 February 2019
stylegan

The StyleGAN Code Released: Neural Network for Faces Generation by NVIDIA

NVIDIA released the StyleGAN code, the GAN for faces generation that has never existed which is the state-of-the-art method in terms of interpolation capabilities and disentanglement power. On the 18th of December…

NVIDIA Research Proposed New Style-Based Generator Architecture for GANs

18 December 2018
stylegan

NVIDIA Research Proposed New Style-Based Generator Architecture for GANs

Recently, we wrote about a research paper that studies and tries to understand the internal representations of GANs. Despite efforts like this, the understanding of various aspects of the image…

Dissecting GANs for Better Understanding and Visualization

5 December 2018
dissecting gan paper

Dissecting GANs for Better Understanding and Visualization

GANs can be taught to create (or generate) worlds similar to our own in any domain: images, music, speech, etc. Since 2014, a large number of improvements of GANs have…

Pix2Pix – Image-to-Image Translation Neural Network

27 November 2018
pix2pix network

Pix2Pix – Image-to-Image Translation Neural Network

Pix2pix architecture was presented in 2016 by researchers from Berkeley in their work “Image-to-Image Translation with Conditional Adversarial Networks.” Most of the problems in image processing and computer vision can…

AlphaGAN: Natural Image Matting

11 September 2018
AlphaGAN

AlphaGAN: Natural Image Matting

Many image-editing and film post-production applications rely on natural image matting as one of the processing steps. The task of the matting algorithm is to estimate the opacity of a…

Facial Surface and Texture Synthesis via GAN

3 September 2018
face texture synthesis

Facial Surface and Texture Synthesis via GAN

Deep networks can be extremely powerful and effective in answering complex questions. But it is also well-known that in order to train a really complex model, you’ll need lots and…

Vid2Vid – Conditional GANs for Video-to-Video Synthesis

3 September 2018
vid2vid-video-to-video-synthesis-e1535641547242

Vid2Vid – Conditional GANs for Video-to-Video Synthesis

Researchers from NVIDIA and MIT’s Computer Science and Artificial Intelligence Lab have proposed a novel method for video-to-video synthesis, showing impressive results. The proposed method – Vid2Vid – can synthesize…

Everybody Dance Now: a New Approach to “Do As I Do” Motion Transfer

30 August 2018
everybody dance now

Everybody Dance Now: a New Approach to “Do As I Do” Motion Transfer

Not very good at dancing? Not a problem anymore! Now you can easily impress your friends with a stunning video, where you dance like a superstar. Researchers from UC Berkeley…

DeepWrinkles: Accurate and Realistic Clothing Modeling

28 August 2018

DeepWrinkles: Accurate and Realistic Clothing Modeling

Realistic garment reconstruction is notoriously a complex problem and its importance is undeniable in many research work and applications, such as accurate body shape and pose estimation in the wild…

A Style-Aware Content Loss for Real-time HD Style Transfer

14 August 2018

A Style-Aware Content Loss for Real-time HD Style Transfer

A picture may be worth a thousand words, but at least it contains a lot of very diverse information. This not only comprises what is portrayed, e.g., a composition of…

Can Computers See Outside the Box? – Realistic Image Outpainting Using GAN

14 August 2018
image outpainting

Can Computers See Outside the Box? – Realistic Image Outpainting Using GAN

Deep learning has been applied to a huge number of computer vision tasks and so far it has proven successful in many of them. Nevertheless, there are still some tasks…

Twin-GAN: Cross-Domain Translation of Human Portraits

25 June 2018
Neural style transfer

Twin-GAN: Cross-Domain Translation of Human Portraits

That comes as no surprise that many discoveries and inventions in any domain come out of the researchers’ personal interests. This new approach to translation of human portraits is also…

Facebook AI Research Presents: Eye In-Painting with Exemplar GAN

19 June 2018
Eye In-Painting with Exemplar GAN

Facebook AI Research Presents: Eye In-Painting with Exemplar GAN

Nowadays, it is pretty common for people to share their pictures on social media. A large percentage of them featuring people-centric content. There is little doubt that realistic face retouching…

Finding Tiny Faces in the Wild with Generative Adversarial Network

5 June 2018
Finding Tiny Faces in the Wild with GAN

Finding Tiny Faces in the Wild with Generative Adversarial Network

Face detection is a fundamental problem in computer vision since it is usually a key step towards many subsequent face-related applications, including face parsing, face verification, face tagging and retrieval, etc.…

XOGAN: One-to-Many Unsupervised Image-to-Image Translation

29 May 2018
Edge2Shoes

XOGAN: One-to-Many Unsupervised Image-to-Image Translation

Image generation has become popular from past couple of years. The image generation technique has become popular in various applications. Many computer vision tasks, including image inpainting, image style transfer,…

Faster Learning and Better Image Quality with Evolving Generative Adversarial Networks

22 May 2018

Faster Learning and Better Image Quality with Evolving Generative Adversarial Networks

Generative Adversarial Networks are one of the most promising recent developments in the area of Deep Learning. GANs are generative models that have recently become very popular among the machine learning…

Neural Network Compresses Images Without Loss Of Quality

24 April 2018
Neural Network Compresses Images Without Loss Of Quality

Neural Network Compresses Images Without Loss Of Quality

Graphical information requires a lot of storage resources, and the main task is to learn how to compress images without losing quality. Computer Vision Laboratory Solution A group of researchers…