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Open source Facial Emotion Recognition (FER) frameworks are thin on the ground - and what there is, is rather outdated.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