12 citations · 12 across the 3 of their papers we have counts for
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cs.CV2026
Multi-Objective Optimization for Synthetic-to-Real Style Transfer
Estelle Chigot, Thomas Oberlin, Manon Huguenin +1
Semantic segmentation networks require large amounts of pixel-level annotated data, which are costly to obtain for real-world images. Computer graphics engines can generate synthet…
cs.CV2025★ 12 cited
Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation
Estelle Chigot, Dennis G. Wilson, Meriem Ghrib +1
Semantic segmentation models trained on synthetic data often perform poorly on real-world images due to domain gaps, particularly in adverse conditions where labeled data is scarce…