Abstract: We propose a deep mixture of multimodal hierarchical variational auto-encoders called MMHVAE that synthesizes missing images from observed images in different modalities. MMHVAE's design ...

Vast.ai host machines cache commonly-used Docker image layers. By building on top of large, popular base images like nvidia/cuda and rocm/dev-ubuntu, most of the image content is already present on ...

AnyEdit is a comprehensive multimodal instruction editing dataset, comprising 2.5 million high-quality editing pairs spanning over 20 editing types across five domains. We ensure the diversity and ...

Abstract: In industrial manufacturing, anomaly inspection performance is frequently hampered by the scarcity of anomaly data. To address this issue, synthetic anomaly masks and corresponding images ...