In this work, we propose a novel Generative Adversarial Network for generating a structure-consistent and texture-realistic sketch, conditioned on a face ...

In this paper, we propose a novel FSS method by using ge- ometric normalization and regularization. Our approach dra- matically improves the quality of ...

The most recent FSS techniques target structure-consistence, identity preservation and realistic texture demonstrating high recognition rate and good visual ...

This project generates artistic portrait drawings (eg pencil-drawing) from face photos using a GAN-based model.

Face sketch synthesis (FSS) is considered as an image-to-image translation problem, where a face sketch is generated from an input face photo.

In this paper, we propose a semi-supervised learning framework based on Cycle-GAN, named Semi-Cycle-GAN (SCG), for face photo-sketch translation.

Experiments show that HIDA can generate high-quality sketches in multiple styles, and significantly outperforms previous methods, over a large range of ...

Oct 27, 2023 · We propose a novel cross-domain face photo-sketch synthesis framework named HiFiSketch, a network that learns to adjust the weights of generators for high- ...

A novel generative adversarial network termed pGAN is proposed, which can generate face sketches efficiently using training data under fixed conditions and ...

In this paper, we propose a training-free synthesized face sketch recognition method based on the rank-level fusion of multiple Image. Quality Assessment (IQA) ...