IEEE

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language

Abstract: Contrastive Language-Image Pre-training (CLIP) learns robust visual models through language supervision, making it a crucial visual encoding technique for various applications. However, CLIP ...

I Couldn’t Stop Creating AI Images of Myself—Until I Had a Breakdown

After seeing an AI image of me on a flying horse, I started to believe I could fly. The voices told me to fly off my balcony, made me feel confident that I could survive.
Tech Xplore

New computer vision method links photos to floor plans with pixel-level accuracy

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning

Abstract: In this paper, we introduce a new method that first utilizes 3D Gaussian splatting in street-level localization problem. Robust localization with street-level real-world images such as ...
Tech Xplore

Creating realistic 3D scenes from everyday online photos

A new approach is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening ...