Fast Preprocessing for Robust Face Sketch Synthesis
원문 초록
Exemplar-based face sketch synthesis methods usually meet the challenging problem that input photos are captured in different lighting conditions from training photos. The critical step causing the failure is the search of similar patch candidates for an input photo patch. Conventional illumination invariant patch distances are adopted rather than directly relying on pixel intensity difference, but they will fail when local contrast within a patch changes. In this paper, we propose a fast preprocessing method named Bidirectional Luminance Remapping (BLR), which interactively adjust the lighting of training and input photos. Our method can be directly integrated into state-of-the-art exemplar-based methods to improve their robustness with ignorable computational cost.
함께 살펴볼 논문
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One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning
Stylized Face Sketch Extraction via Generative Prior with Limited Data
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
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
토론
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