Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer

1. 1Decompose realism into structured factors using ontologies
2. 2Apply Ontology-Guided Diffusion to translate simulated images to real-world images
3. 3Evaluate the performance of OGD using metrics such as realism and accuracy
4. 4Fine-tune OGD models for specific applications and datasets

Machine learning researchers and engineers working on computer vision tasks can benefit from OGD to improve sim2real transfer, and software engineers can apply this framework to develop more realistic image translation models

💡 Representing realism as structured knowledge can improve sim2real image translation

💡 Ontology-Guided Diffusion bridges sim2real gap in computer vision #AI #CV