Building the hyperreal metaverse

It's hard to guess what people look like from the side if you only have frontal views of their face; and the chronic lack of profile views in popular...

New research from France and Switzerland uses Generative Adversarial Networks (GANs) to create extra examples of races and genders that are under-represented in historical face datasets, in an effort...

Getting your face into Stable Diffusion has been a relatively complicated affair since the text-to-image system launched in August of 2022 - but a new offering from China and...

For creating personalized Stable Diffusion art, Low Rank Adaption (LoRA) models are all the rage this year. But a new academic offering from China is proposing a system that...

You don't need a powerful GPU to deceive the public - just a mischievous turn of phrase, applied to photos or videos that don't really support the caption. Now,...

New research from the United States and Israel offers a more discrete and less destructive way of editing access to contested material in the Stable Diffusion text-to-image model.

Labeling facial expression data could be helped by the use of large language models such as ChatGPT, and by text/image encoder frameworks such as CLIP. However, these tools are...

Open source Facial Emotion Recognition (FER) frameworks are thin on the ground - and what there is, is rather outdated. Now, researchers from USC are proposing a better and...

Research from Israel has found an innate quality in Stable Diffusion that may lend itself to producing more temporally consistent video - unlike the usual run of such projects,...

New research from Australia investigates novel ways to teach AI systems how to recognize a far greater range of human facial expressions than just the six basic expressions widely-used...

In the latest contender for stabilizing video output from Stable Diffusion, researchers from China attempt to 'de-flicker' generated imagery in the latent space of the system, and achieve some...

It's not easy to understand what happens when you make a request to a trained neural network. Whatever the resulting output, if you have no way of understanding what...

Everyone wants temporally coherent Stable Diffusion videos, but the solution has proved elusive. In this later offering, a research team uses the principles of video encoding as a method...

Making hyperscale datasets that are both realistic and abundant is essential to the development of the computer vision and image synthesis research sectors. But it's not easy to get...

Researchers have proposed what may be the most radical change in deepfake software since it emerged in 2017. By removing what was formerly considered one of the most fundamental...

A new project from Tel-Aviv University offers a superior method of facilitating deepfake puppetry, as well as editing key facial components (such as expressions) in the latent space of...

One day, video-conferencing is likely to be a low-bandwidth, neurally-powered affair, with participants only sending minimal information about their facial movements, which will power locally-built, on-the-fly avatars at the...

A new research paper proposes to edit the usually rigid contents of a Neural Radiance Field using text-to-image technologies, and the controversial DreamBooth method. But does this bring us...

New research into Facial Effect Recognition (FER) seeks to understand facial expressions in the broader context of their environment. In much the same way we judge whether or not...

Adversarial watermarking has been proposed many times as a preventative measure against deepfaking, but usually with the intention to entirely disrupt the generative process. But a new method proposes...