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Face Sketch Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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Face sketch synthesis is the task of generating a sketch from an input face photo.
<span style="color:grey; opacity: 0.6">( Image credit: High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Stylized Face Sketch Extraction via Generative Prior with Limited Data
semantic neural model approach for face recognition from sketch
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
Bridging Unpaired Facial Photos And Sketches By Line-drawings
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
Scoot: A Perceptual Metric for Facial Sketches
Semi-Supervised Learning for Face Sketch Synthesis in the Wild
Face Sketch Synthesis Style Similarity:A New Structure Co-occurrence Texture Measure
Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs
High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
Fast Preprocessing for Robust Face Sketch Synthesis
Random Sampling for Fast Face Sketch Synthesis
Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.