Face Sketch Synthesis

9 papers with code • 4 benchmarks • 5 datasets

Face sketch synthesis is the task of generating a sketch from an input face photo.

( Image credit: High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks )

Most implemented papers

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

weihaox/TediGAN CVPR 2021

In this work, we propose TediGAN, a novel framework for multi-modal image generation and manipulation with textual descriptions.

Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs

fei-hdu/ca-gan 4 Dec 2017

Experimental results show that our method is capable of generating both visually comfortable and identity-preserving face sketches/photos over a wide range of challenging data.

High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks

lidan1/PhotoSketchMAN 27 Oct 2017

To this end, we propose a novel synthesis framework called Photo-Sketch Synthesis using Multi-Adversarial Networks, (PS2-MAN) that iteratively generates low resolution to high resolution images in an adversarial way.

Face Sketch Synthesis Style Similarity:A New Structure Co-occurrence Texture Measure

DengPingFan/Scoot 9 Apr 2018

However, human perception of the similarity of two sketches will consider both structure and texture as essential factors and is not sensitive to slight ("pixel-level") mismatches.

Semi-Supervised Learning for Face Sketch Synthesis in the Wild

chaofengc/Face-Sketch-Wild 12 Dec 2018

Instead of supervising the network with ground truth sketches, we first perform patch matching in feature space between the input photo and photos in a small reference set of photo-sketch pairs.

Scoot: A Perceptual Metric for Facial Sketches

DengPingFan/Scoot ICCV 2019

In this paper, we design a perceptual metric, called Structure Co-Occurrence Texture (Scoot), which simultaneously considers the block-level spatial structure and co-occurrence texture statistics.

Face Sketch Synthesis with Style Transfer using Pyramid Column Feature

chaofengc/Face-Sketch 18 Sep 2020

We utilize a fully convolutional neural network (FCNN) to create the content image, and propose a style transfer approach to introduce textures and shadings based on a newly proposed pyramid column feature.

Bridging Unpaired Facial Photos And Sketches By Line-drawings

fei-hdu/sRender 1 Feb 2021

In this paper, we propose a novel method to learn face sketch synthesis models by using unpaired data.

Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models

Nithin-GK/UniteandConquer CVPR 2023

We also introduce a novel reliability parameter that allows using different off-the-shelf diffusion models trained across various datasets during sampling time alone to guide it to the desired outcome satisfying multiple constraints.