The web is filled with AI garden design generators promising to create appealing landscapes for you. But should you believe ...

Notably, the original SAM architecture is designed for 2D natural images, therefore would not be able to extract the 3D spatial information from volumetric medical data effectively. In this paper, we ...

VLM-3R is a unified Vision-Language Model (VLM) framework integrating 3D reconstructive instruction tuning for deep spatial understanding from monocular video. The rapid advancement of Large ...

Our fifth annual Forbes Asia 100 to Watch list provides a window into the vibrant world of startups and small companies in the Asia-Pacific region. Drawing nearly $3 billion in funding to date, these ...

Sketch-based 3D shape retrieval (SBSR) can be approached by learning domain-invariant descriptors or ranking metrics from sketches and 2D view images of 3D shapes rendered through numerous viewpoints.

Called MindJourney, the approach addresses a key limitation in vision-language models (VLMs), which give AI agents their ability to interpret and describe visual scenes. While VLMs are strong at ...

Attendees witnessed firsthand how the technology interpreted simple text prompts or 2D images to produce intricate, high-fidelity 3D models.

Attendees witnessed firsthand how the technology interpreted simple text prompts or 2D images to produce intricate, high-fidelity 3D models.

The images of female soldiers appear to have been generated using Elon Musk’s Grok.

In this research, we present a new method on how to reconstruct 3D object from 2D images by employing Variational Autoencoders (VAE). His generality is a bit stark; however, it is well justified given ...