Making 3D figurines using Google Nano Banana (Gemini 2.5 Flash Image) has never been easier, courtesy of easy prompts and ...

Abstract: Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its ...

Abstract: Inserting an object into a background scene has wide applications in image editing and mixed reality. However, existing methods still struggle to seamlessly adapt the object to the ...

Segformer3D is a light-weight and efficient hierarchical Transformer designed for 3D volumetric segmentation. It calculates attention across multiscale volumetric features, and avoids complex decoders ...

3D human shape reconstruction under severe occlusion due to human-object or human-human interaction is a challenging problem. Parametric models i.e. SMPL(- X), which are based on the statistics across ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including ...

A human embryo embeds itself into a fake uterus created by researchers. Screenshot from an Institute for Bioengineering of Catalonia video Sixty percent of miscarriages are caused by the failure of an ...