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Understanding what facial expressions mean is going to be essential in neural facial synthesis in the coming years. But in many cases, it's extremely difficult to correctly guess an...

Films such as 'Here' and 'Indiana Jones and the Dial of Destiny' are using advanced machine learning technologies to age and de-age characters. But it's still a pretty 'manual'...

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Open source Facial Emotion Recognition (FER) frameworks are thin on the ground - and what there is, is rather outdated.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...

Deepfake video is possible through an act of last-minute vandalism, in terms of neural architecture, where the two trained identities are wired into each other, long after training has...

EbSynth is a non-AI system that lets animators transform video from just a handful of keyframes; but a new approach, for the first time, leverages it to allow temporally-consistent...

A new initiative from UC Berkeley uses Transformers to achieve a new state-of-the-art in human pose extraction efficiency and accuracy, paving the way for a variety of improvements across...

A new system from Peking University improves on the state-of-the-art for neural face-editing, offering more faithful expression manipulation and more disentangled editing of facets such as hair and eye...

New research could improve the ability of augmented reality (AR) systems to convincingly insert synthetic objects into scenes, by studying the currently complex ways that they are matted and...

A new project offers a way to cleanly transfer motion into synthesized video, promising a new level of realism and verisimilitude - if the code is ever actually released.

A new collaboration between the University of California, Stanford, and NVIDIA has proposed a system capable of turning people into neural representations in real time, using Neural Radiance Fields...

Deepfakes and AI-edited faces are often too 'perfect', which can help deepfake detection systems to identify them. But a new academic collaboration has devised a way to inject real-world...

A new text-to-video system backed by NVIDIA can create temporally consistent, high-res videos by injecting video knowledge into the static text-to-image generator Stable Diffusion - and can even let...

Adobe has invented a way of injecting people's identities into Stable Diffusion as custom characters that out-competes former methods such as DreamBooth and Textual Inversion, while running at 100x...

Across people, and particularly across cultures, facial expressions are not always accurate indicators of how we are feeling. How then can we create AI systems that can accurately change...

A new method uses Generative Adversarial Networks (GANs) to not only offer high quality facial editing, but even to convincingly change the orientation of the subject's face in respect...

A new system offers better recognition of faces that are very small in a surveillance video or CCTV stream, which could increase the likelihood of more accurate and reliable...

A new text-to-image generative system based on Generative Adversarial Networks (GANs) offers a challenge to latent diffusion systems such as Stable Diffusion. Trained on the same vast numbers of...

A smile affects many other parts of the face, and this tendency of expressions to be 'holistic', and to have a broader effect on a wide range of facial...

Some of the most influential computer vision datasets are so old that many modern images - such as the latest iPhones - are completely absent. But curating and training...

New research offers a way to correct the extreme facial distortions that occur when taking hand-held selfies on smartphone cameras. Since AI is increasingly reliant on web-scraped data, such...

Re-training Stable Diffusion models can allow users to compose scenes with accuracy, addressing one of the core weaknesses of latent diffusion models.

Re-training Stable Diffusion models can allow users to compose scenes with accuracy, addressing one of the core weaknesses of latent diffusion models.

A new research project brings NeRF nearer to Stable Diffusion in terms of explorability and versatility.

Researchers from the Max Planck Institute lead a new paper that offers personalized and high-quality live hand rendering in real time, aimed at VR/AR, teleconferencing, and other neurally-enhanced environments.

A new MIT paper proposes not only a new adversarial method to prevent images being 'abused' by Stable Diffusion users, but a fairly drastic increase in the level of...

A recent study from Lancaster University found not only that most people cannot distinguish deepfake faces from real faces, but also that we tend to trust synthesized faces more....