Jaykumaran
NVIDIA’s Cosmos Reason1 is a family of Vision Language Models trained to understand the physical world and make decisions for embodied reasoning. What makes Cosmos Reason1, as a promising contender
Imagine you’re a robotics enthusiast, a student, or even a seasoned developer, and you’ve been captivated by the idea of robots that can see, understand our language, and then act on that
Training large models on a single GPU is limited by memory constraints. Distributed training enables scalable training across multiple GPUs.
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
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 huge progress is
3D Reconstruction from traditional SfM, MVS is time consuming and involves complex intermediary steps. VGGT (Visual Geometry Grounded Transformer) outperforms DUSt3R and MASt3R in multiple benchmarks achieving SOTA results.
MASt3R (Multi View Stereo 3D Reconstruction) is a 3D aware image matches that grounds image matching as a 3D task to establish better correspondence. In this article, we will understand
GraphRAG is a pivotal research from Microsoft improving the shortcomings of naive RAG by employing structured Knowledge graph which includes entities, relations, claims etc, for traceability by traversing multi-hop nodes.
- Generative AI, LLMs, NLP, RAGs
DUSt3R (Dense and Unconstrained Stereo 3D Reconstruction) introduces a novel paradigm in multi-view 3D reconstruction, eliminating the need for predefined camera poses and intrinsics. In this article let's understand DUSt3R
Apple's DepthPro is quite impressive, producing pixel-perfect, high-resolution metric depth maps with sharp boundaries through monocular depth estimation. It outperforms all of its contenders like Metric3D v2 and DepthAnything in
Molmo VLM is an open-source Vision-Language Model (VLM) showcasing exceptional capabilities in tasks like pointing, counting, VQA, and clock face recognition. Leveraging the meticulously curated PixMo dataset and a well-optimized
