Face Sketch Synthesis
10 papers with code • 5 benchmarks • 6 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 )
Benchmarks
These leaderboards are used to track progress in Face Sketch Synthesis
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CUHK03
Multi-Modal CelebA-HQ
CUFSF
CUFS
FS2K
SKSF-A
Most implemented papers
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
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
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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
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
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
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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
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
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
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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
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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.
Stylized Face Sketch Extraction via Generative Prior with Limited Data
Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention.
