Single-image method can accurately evaluate fibrous material porosity

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...
IEEE

Efficient Cloud Removal Network for Satellite Images Using SAR-Optical Image Fusion

Clouds in remote sensing optical images often obscure essential information. They may lead to occlusion or distortion of ground features, thereby affecting the subsequent analysis and extraction of ...
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 ...

Turn Any Photo into a 3D Model with SAM 3D : From One Snapshot to Shareable Mesh

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
CNET

ChatGPT's New Image Generator Is Better, but It's Still No Nano Banana

ChatGPT Images is a big step forward for OpenAI. Here's how the new model fared against the old one and competitors like Google.
IEEE

DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature

Abstract: Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D ...