Metaphysic Research
A pragmatic balance of Fundamental & Applied Research and Industry impact.
Our research, initiated in collaboration with top-notch research partners, advances the state-of-art across multiple research areas.
Many of Metaphysic Research-centric outcomes become significant elements of our products in general and of any AI-backed VFX tool we develop, which are used worldwild.
Human before everything else
Metaphysic researchers meet the most significant challenge of AI by ethically creating software and components while implementing the most relevant scientific innovation in Computer Vision, Machine Learning, Abuse Prevention, Information Management, Ethics, and many more in the Metaphysic Tech stack.
Research Areas
Metaphysic Research is made up of a Team of Fundemental and Applied Research Scientists, Engineers, Artists, and Ethicists combining cutting-edge academic curiosity and experience with ethical industry impact.
We dream of experimental ideas that we turn into innovative tech for Metaphysic’s products, placing our corporate history as a pioneer in hyperreal and consensual generative AI.
Metaphysic Research works with friends and colleagues from Research institutions worldwide, presenting our work and future publications at international conferences.
Computer Vision
Machine Learning / Deep Learning
Security and Abuse Prevention
Information and Knowledge Management
Ethics & Public Policy
Metaphysic Scientific Advisory Board
Metaphysic Scientific Advisory Board comprises distinguished academic researchers, including renowned Scientists and Professors from Computer Science, Computing Vision, Law, and Ethics, with extensive experience to help make critical decisions that drive our research effort forward.
Hany Farid
University of California - Berkeley
Professor in Electrical Engineering & Computer Sciences and the School of Information
Jeanne Fromer
NYC | Law
Vice Dean, Intellectual Life Walter J. Derenberg & Professor of Intellectual Property Law
Renaud Lambiotte
University of Oxford & The Alan Turing Institute
Professor of Networks and Nonlinear Systems and Turing Fellow
Scientific Vulgarization
Solving the ‘Profile View Famine’ With Generative Adversarial Networks
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...
Repairing Demographic Imbalance in Face Datasets With StyleGAN3
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...
Stable Diffusion Deepfakes and Stylizations With a Single Image
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...
Replacing LoRA With a Generic Style Adapter in Stable Diffusion
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...
Detecting Cheapfakes With Deepfakes
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,...
Editing Porn, Bias, Objects and Artists Out of Stable Diffusion Models
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.
Using ChatGPT and CLIP to Augment Facial Emotion Recognition (FER)
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...
Better Open Source Facial Emotion Recognition With LibreFace
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...
The media represents a world that is more real than reality that we can experience. People lose the ability to distinguish between reality and fantasy. They also begin to engage with the fantasy without realizing what it really is.
JEAN BAUDRILLARD
SIMULACRA AND SIMULATION
this is a fake quote often attributed to Baudrillard, but does it really matter?
