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Synthetic-to-Real Translation

Synthetic-to-real translation is the task of domain adaptation from synthetic (or virtual) data to real data.

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Papers

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Showing 51–60 of 68 papers

Title	Date	Tasks	Status	Hype
cGANs for Cartoon to Real-life Images	Jan 24, 2021	CaricatureGenerative Adversarial Network	—Unverified	0
Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training	Oct 18, 2018	Domain AdaptationPseudo Label	CodeCode Available	0
Domain Adaptation for Structured Output via Discriminative Patch Representations	Jan 16, 2019	Domain AdaptationImage-to-Image Translation	CodeCode Available	0
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation	Mar 26, 2019	AllDomain Adaptation	CodeCode Available	0
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization	Oct 11, 2021	Domain AdaptationSemantic Segmentation	CodeCode Available	0
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling	Sep 30, 2019	Domain AdaptationSelf-Supervised Learning	CodeCode Available	0
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation	Sep 25, 2018	Domain AdaptationSemantic Segmentation	CodeCode Available	0
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA	Nov 16, 2022	Domain AdaptationSemantic Segmentation	CodeCode Available	0
Virtual to Real Reinforcement Learning for Autonomous Driving	Apr 13, 2017	Autonomous DrivingDomain Adaptation	CodeCode Available	0
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation	Dec 8, 2016	Image-to-Image TranslationSemantic Segmentation	CodeCode Available	0

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