Recent deep learning frameworks in histopathology, particularly multiple instance learning (MIL) combined with pathology foundational models (PFMs), have shown ...
Real ones will know that Mount Rainier looks too big in this image, but the re-creation of a Washington State ferry in this AI image is uncanny. This is The Ste...
AI Surveillance on British Roads On a grey morning along the A38 near Plymouth, a white van equipped with twin cameras captures thousands of images per hour, i...
Introduction An AI background remover can feel almost magical when it works well—and frustrating when it doesn’t. The difference usually comes down to two thin...
The recent success of 3D Gaussian Splatting (3DGS) has reshaped novel view synthesis by enabling fast optimization and real-time rendering of high-quality radia...
Large-scale video generation models have shown remarkable potential in modeling photorealistic appearance and lighting interactions in real-world scenes. Howeve...
We present Particulate, a feed-forward approach that, given a single static 3D mesh of an everyday object, directly infers all attributes of the underlying arti...
The collection of large-scale and diverse robot demonstrations remains a major bottleneck for imitation learning, as real-world data acquisition is costly and s...
Reality is a dance between rigid constraints and deformable structures. For video models, that means generating motion that preserves fidelity as well as struct...
Accurately quantifying vitiligo extent in routine clinical photographs is crucial for longitudinal monitoring of treatment response. We propose a trustworthy, f...
Video matting remains limited by the scale and realism of existing datasets. While leveraging segmentation data can enhance semantic stability, the lack of effe...
Model fingerprint detection techniques have emerged as a promising approach for attributing AI-generated images to their source models, but their robustness und...
