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…

PIFR: Pose Invariant 3D Face Reconstruction

26 November 2018
pifr reconstruction

PIFR: Pose Invariant 3D Face Reconstruction

3D face geometry needs to be recovered from 2D images in many real-world applications, including face recognition, face landmark detection, 3D emoticon animation etc. However, this task remains challenging especially…

This Neural Network Evaluates Natural Scene Memorability

1 October 2018
natural scene memorability score by neural network

This Neural Network Evaluates Natural Scene Memorability

One hallmark of human cognition is the splendid capacity of recalling thousands of different images, some in details, after only a single view. Not all photos are remembered equally in…

True Face Super-Resolution Upscaling with the Facial Component Heatmaps

1 October 2018
face resolution upscaling

True Face Super-Resolution Upscaling with the Facial Component Heatmaps

The performance of the most facial analysis techniques relies on the resolution of the corresponding image. Face alignment or face identification is not going to work correctly when the resolution…

Anatomically-Aware Facial Animation from a Single Image

7 August 2018
GAN animation

Anatomically-Aware Facial Animation from a Single Image

Let’s say you have a picture of a Hugh Jackman for an advertisement. He looks great, but the client wants him to look a little bit happier. No, you don’t…

Unsupervised Attention-Guided Image-to-Image Translation

30 July 2018
Unsupervised Attention-Guided Image-to-Image Translation

Unsupervised Attention-Guided Image-to-Image Translation

Image-to-image translation is the task of mapping an image from a source domain to a target domain. Applications include image colorization, image super-resolution, style transfer, domain adaptation and data augmentation. Most of the approaches require…

New Approach to Recovering 3D Shape Structure from a Single 2D Image

27 July 2018
3D recovery

New Approach to Recovering 3D Shape Structure from a Single 2D Image

Single-view image-based 3D modeling is a topic of particular interest the last few years. That’s likely due to the tremendous success of deep convolutional neural networks (CNN) on image-based learning…

Image Editing Becomes Easy with Semantically Meaningful Objects Generated

3 July 2018
semantic soft segmentation

Image Editing Becomes Easy with Semantically Meaningful Objects Generated

Image editing and compositing could be a fascinating creative process unless you need to spend most of your time on the tedious task of object selection. The process becomes even…

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

26 June 2018
image segmentation

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

Object detectors have become significantly more accurate and gained new capabilities. One of the most exciting is the ability to predict a foreground segmentation mask for each detected object, a…

Neural Network Removes Haze from Single Images

14 May 2018
image haze removal

Neural Network Removes Haze from Single Images

Due to the particle-scattered light, images taken in a foggy weather are likely to include shifted colors, attenuated saturation and decreased contrast. Such factors have a significant adverse effect on…

Image Inpainting for Irregular Holes Using Partial Convolutions

8 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions

Image Inpainting for Irregular Holes Using Partial Convolutions

Deep learning is growing very fast and it is one of the fast-growing areas of artificial intelligence. It has been used in many fields extensively including real-time object detection, image…