Full papers
Original research contributions with comprehensive experiments and analysis.
Computer Vision/CORE Unranked
SynRDinBAS 2027
Official conference site Site reachable
SynRDinBAS 2027 is a workshop affiliated with WACV 2027 focused on synthetic data generation and its applications in computer vision and machine learning. The workshop aims to bring together researchers to explore the creation, evaluation, and utilization of synthetic data for improving model robustness, generalization, and efficiency in real-world vision tasks.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Concise submissions presenting preliminary results, novel ideas, or system demos.
Poster presentations
Interactive presentations of work, suitable for ongoing or exploratory research.
Research areas in scope
01
Topics
Synthetic data generation for computer visionDomain adaptation using synthetic dataEvaluation metrics for synthetic data qualitySynthetic-to-real transfer learningGenerative models for data augmentationEthics and bias in synthetic dataEfficiency and scalability of synthetic data pipelinesApplications in autonomous driving, robotics, and medical imaging
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not exceed 8 pages (excluding references).
- Dual submission to other venues is not allowed during review.
- Author lists cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 8, 2026