Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

Hierarchical Sequential Context Modelling for High-Fidelity Image Inpainting

Abstract: Image inpainting aims to restore missing regions by leveraging surrounding spatial context, where nearby pixels provide crucial structural cues and distant regions offer complementary ...
IEEE

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

Abstract: Segment anything model (SAM) is an advanced foundational model for image segmentation, which is gradually being applied to remote sensing images (RSIs). Due to the domain gap between RSIs ...
GitHub

Unofficial Implementation of CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image

This REPO demonstrates an unofficial simplified implementation of SIGGRAPH 2025 Best Paper Nominate CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image. The pipeline is modular and can ...
GitHub

Ideogram 4: Open image model at the forefront of design

Ideogram 4 is Ideogram's first open-weight text-to-image model. It is a state-of-the-art foundation model trained from scratch — not a fine-tune of any existing model. It introduces a new structured ...