Training modern deep learning models often demands huge compute resources and time. As datasets grow larger and model architecture scale up, training on a single GPU is inefficient and time consuming. ...
Iterative Closest Point (ICP) is a widely used classical computer vision algorithm for 2D or 3D point cloud registration. As the name suggests it iteratively improves and minimizes the spatial ...
MASt3R-SLAM is a truly plug and play monocular dense SLAM pipeline that operates in-the-wild. It is first of its kind real-time SLAM system that leverages MASt3R's 3D Reconstruction priors to achieve ...
The advent of Generative AI, has fundamentally transformed robotic intelligence, enabling significant strides in how advanced humanoid robots "perceive, reason and act" in the physical world. This ...
VGGT (Visual Geometry Grounded Transformer) leverages deep learning based representations to infer 3D structures from an image rather than traditional 2D based SfM pipelines. It provides a simplified, ...
MASt3R (Matching and Stereo 3D Reconstruction) aims to treat image matching as a 3D problem leveraging dense correspondences and understanding the 3D scene rather than a traditional 2D approach. This ...
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