
Most Shocking Deepfake Videos Of 2021
Tools like FakeApp and DeepFaceLab have already made the creation of deepfakes accessible to the masses.
Tools like FakeApp and DeepFaceLab have already made the creation of deepfakes accessible to the masses.
This is one of the top voted thesis papers from upGrad’s online working professional programs in partnership with one of the UK’s leading universities.
Deepfake videos in themselves evoke a range of emotions — a light-hearted chuckle, disgust, and even downright horror– depending on what purpose it has been
If one were to sum up the menace of all the evil things that emerging tech brought on this decade, the notorious deepfakes would definitely
With advanced image journaling tools, one can now easily alter the semantic meaning of images by using manipulation techniques like copy clone, object splicing/removal, which
This methodology outperformed the baseline by 4.90% and 11.78% points in the cross-dataset evaluation.
Just this quarter, Netflix viewers were taken on a ride with the film Red Notice. Wondering about the uncanny feeling you got while watching the
Last month, Apple announced that it will be introducing new child safety features in three areas, developed in collaboration with child safety experts. After backlash
Video transformation company Hour One is inviting people to buy the deepfake copies of their faces.
GANsNRoses is an open-source library that creates new Images by building a mapping that takes face images and produces them to anime drawings of faces. With the contents of the image being preserved, the same face could be represented in many different ways in the anime. GANsNRoses consists of a function that takes a content code recovered from the face image and a style code, a latent variable that produces an anime face. GNR uses the same image with different augmentations to form a batch, constraining the spatial invariance in style codes, all style codes being the same across the batch. The Diversity Discriminator present looks at batch-wise statistics by explicitly computing the minibatch standard deviation across the batch. This ensures diversity within each batch of images, in turn producing unique animated images.
Facebook’s initiative, led by MSUs Vishal Asnani, attempts to solve the deepfake problem using reverse engineering
Deep video understanding is one of the most challenging tasks in computer vision. With the rise of computing power and the amount of video data