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 )
Benchmarks
These leaderboards are used to track progress in Face Sketch Synthesis
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CUHK03
Multi-Modal CelebA-HQ
CUFSF
CUFS
FS2K
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.
