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[HTML][HTML] Automated data processing and feature engineering for deep learning and big data applications: a survey
A Mumuni, F Mumuni - Journal of Information and Intelligence, 2024 - Elsevier
Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …
from data. This approach has achieved impressive results and has contributed significantly …
A review on generative adversarial networks for image generation
Abstract Generative Adversarial Networks (GANs) are a type of deep learning architecture
that uses two networks namely a generator and a discriminator that, by competing against …
that uses two networks namely a generator and a discriminator that, by competing against …
Instruct-nerf2nerf: Editing 3d scenes with instructions
We propose a method for editing NeRF scenes with text-instructions. Given a NeRF of a
scene and the collection of images used to reconstruct it, our method uses an image …
scene and the collection of images used to reconstruct it, our method uses an image …
Adding conditional control to text-to-image diffusion models
We present ControlNet, a neural network architecture to add spatial conditioning controls to
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large …
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large …
Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models
Recent text-to-image generative models have demonstrated an unparalleled ability to
generate diverse and creative imagery guided by a target text prompt. While revolutionary …
generate diverse and creative imagery guided by a target text prompt. While revolutionary …
Erasing concepts from diffusion models
Motivated by concerns that large-scale diffusion models can produce undesirable output
such as sexually explicit content or copyrighted artistic styles, we study erasure of specific …
such as sexually explicit content or copyrighted artistic styles, we study erasure of specific …
Muse: Text-to-image generation via masked generative transformers
We present Muse, a text-to-image Transformer model that achieves state-of-the-art image
generation performance while being significantly more efficient than diffusion or …
generation performance while being significantly more efficient than diffusion or …
Multi-concept customization of text-to-image diffusion
While generative models produce high-quality images of concepts learned from a large-
scale database, a user often wishes to synthesize instantiations of their own concepts (for …
scale database, a user often wishes to synthesize instantiations of their own concepts (for …
Plug-and-play diffusion features for text-driven image-to-image translation
Large-scale text-to-image generative models have been a revolutionary breakthrough in the
evolution of generative AI, synthesizing diverse images with highly complex visual concepts …
evolution of generative AI, synthesizing diverse images with highly complex visual concepts …
Instructpix2pix: Learning to follow image editing instructions
We propose a method for editing images from human instructions: given an input image and
a written instruction that tells the model what to do, our model follows these instructions to …
a written instruction that tells the model what to do, our model follows these instructions to …