However, writing in images has many problems, especially tediously saved documents that can cause noise or interference in the picture, resulting in difficultly recognized writing. Our research aims ...

In this project, I have built an image retrieval system using the AutoEncoder neural network. The network was trained with the CIFAR-10 dataset. The hyperparameters for training the model are provided ...

UniDiffuser employs a variation of transformer, called U-ViT, which parameterizes the joint noise prediction network.Other components perform as encoders and decoders of different modalities, ...

The existing image-to-video translation methods generally follow a frame-by-frame generative paradigm, while extracting the temporal information from a reference video or an audio stream. Inspired by ...

Text to image AI makes artwork in seconds. There is tons of free software available, as well as some with subscriptions that can be used to generate artwork.

Text-to-image generators that use neural networks have made remarkable progress in recent years. The latest, Imagen from Google, comes hot on the heels of DALL-E 2 , which was announced by OpenAI ...

My previous experiences trying to add legible text to images have been hit-and-miss. DALL-E does a fairly good job but it usually takes a few prompts and it never gets it exactly right every time.

1 Computer School, Hubei Polytechnic University, Huangshi, China; 2 College of Computer Science, Huanggang Normal University, Huanggang, China; This study aims to explore an autoencoder-based method ...