Market Research

instructpix2pix-MAIN
AI ML DL

InstructPix2Pix: Accurate, AI-Based Image-Editing With GPT-3 and Stable Diffusion

New research from the University of California at Berkeley improves notably on recent efforts to create AI-powered image-editing procedures – this time by combining the considerable calculative forces of OpenAI’s GPT-3 Natural Language Processing (NLP) model with the latest version of Stability.ai’s world-storming Stable Diffusion text-to-image and image-to-image latent diffusion architecture.

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Diminished Reality
AI ML DL

Editing Out the Real World With ‘Diminished Reality’

In the 2014 Christmas special of the dystopian sci-fi anthology series Black Mirror, writer and series creator Charlie Brooker envisaged the possibility of cybernetic augmentations capable of ‘blocking out’ upsetting or banned material for a particular user – not only online, but in real-world interactions. In the episode, one of the main characters was ‘blocked’ by his ex-wife, so that she could literally no longer ‘see’ him.

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Latent Space
Knowledge base

What Is the Latent Space of an Image Synthesis System?

If you have any interest in image synthesis architectures such as Generative Adversarial Networks (GANs) or latent diffusion frameworks like Stable Diffusion, you’ll have noticed references to the ‘latent space’ of these systems.
The latent space, which we’ll look into more deeply here, is the ‘subconscious’ and overarching understanding of relationships between learned data points that a machine learning system has been able to derive from the information that it gets fed.

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A new collaboration between Binghamton University and Intel offers a novel take on the problem of the unauthorized use of social media photos for facial recognition purposes, as well as AI and deepfake training – by using deepfake techniques to subtly alter the appearance of people in posted photos, so that only their friends and permitted contacts are able to see their original face images.
AI ML DL

A New Social Image-Sharing System Deepfakes All People by Default

A new collaboration between Binghamton University and Intel offers a novel take on the problem of the unauthorized use of social media photos for facial recognition purposes, as well as AI and deepfake training – by using deepfake techniques to subtly alter the appearance of people in posted photos, so that only their friends and permitted contacts are able to see their original face images.

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The Future of Using Public Images for AI Research
AI ML DL

The Future of Using Public Images for AI Research

Besides their capacity to rip off the style of popular real world artists, the new breed of latent diffusion- based image synthesis systems promises a revolutionary ease-of-use not only for valid creative purposes, such as concept art development and stock image generation, but also for creating controversial deepfakes, and potentially objectionable imagery, including child pornography.

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NVIDIA's Implicit Warping
AI ML DL

NVIDIA’s Implicit Warping Is a Potentially Powerful Deepfake Technique

Over the past 10-20 years, and particularly in recent years, the computer vision research community has produced an abundance of frameworks capable of taking a single image and using it to perform ‘deepfake puppetry’ – the use of the facial and body movements of one person to simulate a secondary, fictitious identity.

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mdm_MAIN
AI ML DL

Creating Authentic Human Motion Synthesis via Diffusion

New research from Tel Aviv University may prove capable of bringing authentic human motion to text-to-video synthesis, videogames, motion capture architectures in VFX pipelines, and also function as a synthetic data generator for downstream research initiatives, among a myriad of other potential applications – all thanks to what has turned out to be the most sensational AI technology of 2022 – diffusion models.

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deepfake body
AI ML DL

The Road to Realistic Full-Body Deepfakes

It’s nearly five years since the advent of deepfakes released into the public realm the ability to alter people’s facial identities; at first, in recorded video, and now even as a streaming implementation, with DeepFaceLive.

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