Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation We present a generic image-to-image translation framework, Pixel2Style2Pixel (pSp). Our pSp framework is based on a novel encoder ...
This repository demonstrates our work, an encoder for GGHead inversion. Our encoder consists two parts: one encoder mapping the images into GGHead latent space; a triplane encoder to generate a new ...
Abstract: In this paper, we propose a novel translation model, UniTranslator, for transforming representations between visually distinct domains under conditions of limited training data and ...
Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.
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