GAP-GDRNet: A Leap Forward in Spacecraft Pose Sensing
GAP-GDRNet, a new framework for spacecraft pose sensing, outperforms previous models by integrating geometry-aware attention. Achieving remarkable accuracy and speed, it sets a new standard for…
Read the full articleYou might also wanna read
SHARE: Pose-Free 3D Gaussian Splatting Framework for Robust Scene Reconstruction
While generalizable 3D Gaussian splatting enables efficient, high-quality rendering of unseen scenes, it heavily depends on precise camera p
Apple's SHARP: Photorealistic 3D View Synthesis from a Single Image in Under a Second
Sharp Monocular View Synthesis in Less Than a Second - apple/ml-sharp
Deep learning framework detects fine-scale ecological features invisible to standard satellites
We developed a high-resolution deep learning framework to reveal fine-scale ecological features, like hedgerows and copses, that are typical
research.google·19d agoLift4D: A Method for Single-View 4D Dynamic Scene Reconstruction Using Gaussian Splatting
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild.

SkySphere: Building an Intelligent All-Sky Camera Network
Real-time sky monitoring powered by intelligent cameras and continuous, trusted observational data.
ReMoT: A Reinforcement Learning Framework Using Motion Contrast Triplets to Improve VLM Spatio-Temporal Reasoning
We present ReMoT, a unified training paradigm to systematically address the fundamental shortcomings of VLMs in spatio-temporal consistency

Comments
Sign in to join the conversation.
No comments yet. Be the first.