Étiquette : image processing (Page 1 of 4)

NeRF Research Turns 2D Photos Into 3D Scenes

“When the first instant photo was taken 75 years ago with a Polaroid camera, it was groundbreaking to rapidly capture the 3D world in a realistic 2D image. Today, AI researchers are working on the opposite: turning a collection of still images into a digital 3D scene in a matter of seconds. Known as inverse rendering, the process uses AI to approximate how light behaves in the real world, enabling researchers to reconstruct a 3D scene from a handful of 2D images taken at different angles. The NVIDIA Research team has developed an approach that accomplishes this task almost instantly — making it one of the first models of its kind to combine ultra-fast neural network training and rapid rendering.”

Source : NeRF Research Turns 2D Photos Into 3D Scenes | NVIDIA Blog

which face is real

“Which Face Is Real has been developed by Jevin West and Carl Bergstrom at the University of Washington as part of the Calling Bullshit project. All images are either computer-generated from thispersondoesnotexist.com using the StyleGAN software, or real photographs from the FFHQ dataset of Creative Commons and public domain images. License rights notwithstanding, we will gladly respect any requests to remove specific images; please send the URL of the results pages showing the image in question.”

Source : Which Face Is Real?

“Harness the power of AI to quickly turn simple brushstrokes into realistic landscape images for backgrounds, concept exploration, or creative inspiration. 🖌️ The NVIDIA Canvas app lets you create as quickly as you can imagine.”

via NVIDIA Studio

Enhancing Photorealism Enhancement

“We present an approach to enhancing the realism of synthetic images. The images are enhanced by a convolutional network that leverages intermediate representations produced by conventional rendering pipelines. The network is trained via a novel adversarial objective, which provides strong supervision at multiple perceptual levels. We analyze scene layout distributions in commonly used datasets and find that they differ in important ways. We hypothesize that this is one of the causes of strong artifacts that can be observed in the results of many prior methods. To address this we propose a new strategy for sampling image patches during training. We also introduce multiple architectural improvements in the deep network modules used for photorealism enhancement. We confirm the benefits of our contributions in controlled experiments and report substantial gains in stability and realism in comparison to recent image-to-image translation methods and a variety of other baselines.”

Stephan R. Richter, Hassan Abu AlHaija, and Vladlen Koltun
PaperCode and data,​ Project page

Image GPT

“We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupervised setting.”

Source : Image GPT

“NVIDIA Maxine is a fully accelerated platform SDK for developers of video conferencing services to build and deploy AI-powered features that use state-of-the-art models in their cloud. Video conferencing applications based on Maxine can reduce video bandwidth usage down to one-tenth of H.264 using AI video compression, dramatically reducing costs.”

Source : NVIDIA Maxine Video Conferencing Platform | NVIDIA Developer

“Un surnom a été donné au fait de se penser imparfait ou imparfaite à cause de filtres. C’est la « dysmorphie Snapchat ». On accuse les filtres de renforcer la pression notamment sur les femmes. Des chirurgiens racontent que de plus en plus d’utilisatrices de réseaux sociaux demandent à se faire opérer pour ressembler à la version « filtrée ». On ignore encore si des filtres vus comme « embellissants » comme celui (très populaire) de l’influenceuse Kylie Jenner seront concernés.”

Source : Instagram a banni les filtres effet « chirurgie esthétique » – Société – Numerama

“Python code to submit rotated images to the Cloud Vision API + R code for visualizing it. This repository was used to create this animation.”

Source : GitHub – minimaxir/optillusion-animation: Python code to submit rotated images to the Cloud Vision API + R code for visualizing it

“We are building the next generation of media through the power of AI. Copyrights, distribution rights, and infringement claims will soon be things of the past. To give you a glimpse of what we have been working on we created a free resource of 100k high-quality faces. Every image was generated by our internal AI systems as it continually improves. Use them in your presentations, projects, mockups or wherever — all for just a link back to us!”

Source : 100,000 AI-Generated Faces – Free to Download!

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