Researchers at NVIDIA are introducing a state-of-the-art deep learning method for image reconstruction. It has the ability to restore corrupt images, even those that has holes or are missing pixels. NVIDIA is not the only company researching this kind of technology. In fact, Adobe, makers of Photoshop have their own content-aware fill feature. However, NVIDIA’s reconstruction techniques are remarkably close to accurate. So much so that it is even rivals manual reconstruction with human artists. Check the video out below to see it in action:
The paper published on arXiv is titled “Image Inpainting for Irregular Holes Using Partial Convulutions”. It uses deep learning technology which the researchers trained with 55,116 random masks of holes and streaks on the photos. By analyzing the image, the neural network is able to reconstruct missing pixels and gets better with each try. The researchers then used an additional 25,000 masks to validate the accuracy of their work.
Here are some sample photos of reconstructed images. Note that this not only applies to human faces, but to other objects as well. That includes creatures, natural environments and even complex architectures. This technology has plenty of obvious applications, although there is no word yet on whether this will appear in a software program any time soon.
According to a new report, the GeForce RTX 5090 GPU will be very expensive. It…
A new AMD processor in the form of an engineering model has been leaked in…
SK Hynix has claimed to be the first company to mass-produce 321-layer NAND memory chips.…
SOUNDS GREAT – Full stereo sound (12W peak power) gives your setup a booming audio…
Special Edition Yoshi design Ergonomic controller shape with Nintendo Switch button layout Detachable 10ft (3m)…
Fluid Motion: These flight rudder pedals are smooth and accurate that enable precise control over…