Papers
1–3 of 3Research Paper·Mar 5, 2026
Any to Full: Prompting Depth Anything for Depth Completion in One Stage
Accurate, dense depth estimation is crucial for robotic perception, but commodity sensors often yield sparse or incomplete measurements due to hardware limitations. Existing RGBD-fused depth completio...
8.0 viability
Research Paper·Mar 11, 2026
Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion
We introduce Marigold-SSD, a single-step, late-fusion depth completion framework that leverages strong diffusion priors while eliminating the costly test-time optimization typically associated with di...
7.0 viability
Research Paper·Mar 16, 2026
AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild
Robust depth completion is fundamental to real-world 3D scene understanding, yet existing RGB-LiDAR fusion methods degrade significantly under adverse weather, where both camera images and LiDAR measu...
7.0 viability