Content Based Image Retrival using Encoder Decoder, my program accepts an input image and return N images from the provided dataset similar to the input image. In my approach, instead of compressing ...

Image style transfer has drawn broad attention recently. However, most existing methods aim to explicitly model the transformation between different styles, and the learned model is often not ...

We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly generates a series of style vectors which are ...

On the other hand, encoder-decoder approaches are good at image captioning and visual question answering but not retrieval-style tasks. Google AI researchers provide a unified vision backbone model ...

Here in the article, we have discussed an overview of the encoder-decoder model and we have discussed how it can be fruitful in time series modelling. Along with this, we have seen the implementation ...

Diffusion models, integral in text-to-video and reference-guided image generation, leverage the UNet architecture, comprising an encoder, bottleneck, and decoder. While past research focused on the ...

Image style transfer has drawn broad attention recently. However, most existing methods aim to explicitly model the transformation between different styles, and the learned model is often not ...