
Dragging objects within images in both GANs and Diffusion Models is making every designers dream come true.
Dragging objects within images in both GANs and Diffusion Models is making every designers dream come true.
Vocoders based on deep neural networks may produce human-like voices
What we are doing at Fractal is first to solve a basic problem of recreating one data dimension for one time period with the highest possible accuracy.
My vision is to take the research we do at Alpha AI to the masses.
Neural Style Transfer is a type of algorithm that stylizes the digital image or video by adopting the visual style from another image.
Both of them have found wide usage in the field of image, video and voice generation, leading to a debate on what produces better results—diffusion models or GANs.
Steganography is the practice of concealing a secret message within or even on top of something public.
EditGAN allows users to edit desired images with simple commands like drawing without compromising the original imag
MIT Media Lab’s AI-generated characters library can be used to develop video content to support personalised learning and well-being
The process of rebuilding missing areas of an image so that spectators are unable to discern that these regions have been restored is known as image inpainting.
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 film, or how the world
GauGAN2 can generate images from phrases like ‘sunset at a beach,’ which can then be further modified with adjectives like ‘rocky beach,’ or by changing ‘sunset’ to a different time
IC-GAN can be used with both labelled and unlabelled datasets.
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
Algorithms can help you create your own art, and there are plenty of crash courses and full-time programs to help you learn the art of coding in AI
Image extrapolation is such a task in computer vision that aims to fill the surrounding region of a sub-image, e.g. completing the object appearing in the image or predicting the
Technology and Technological developments in this decade have led to some of the most awe-inspiring discoveries. With rapidly changing technology and systems to support them and provide back-end processing power,
Generative adversarial networks, also known as GANs is an algorithmic architecture is used widely in the field of image generation. GANs can be taught to automatically create many things such
Single image super-resolution has fundamental low-level vision problems. The SISR aims to recover…
Simulation enables engineers to prototype rapidly and with minimal human effort. In robotics, physics simulations provide a secure and low-cost virtual playground for robots to gain physical skills through Deep
The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.
STRIPE excels probabilistic time-series forecasting with space and time diversity
Pixel2Style2Pixel (pSp) is an image translation framework that builds upon the representative power of a pre-trained StyleGAN generator and the W+ latent space.
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
Face Identity Disentanglement via Latent Space Mapping becomes the state-of-the-art in face image generation by surpassing existing GANs
Deep neural network models have witnessed significant success in modern computer vision pipelines. Deep Nostalgia utilises Generative Adversarial Networks (GANs) to animate faces in still photos. Here is a list
Face-to-Face translation is plagued by the novel problem of out-of-sync lips, LipGAN and Wave2Lip aim to solve this lip sync issue.
GANSynth is a state-of-the-art method for synthesizing high-fidelity and locally coherent audio using Generative Adversarial Networks (GANs). Hence the name GANSynth (GAN used for audio Synthesis). It was introduced by
Identifying anomalies in time series data can be daunting, thanks to the vague definition of anomalies, lack of labelled data, and highly complex temporal correlations. Currently, the machine learning method
VIBE – Video Inference for 3D Human Body Pose and Shape Estimation. It uses CNNs, RNNs(GRU) and GANs along with a self-attention layer to achieve its state-of-the-art results.
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