GraphRAG integrates structured Knowledge Graphs (KGs) with semantic chunks (vectors), it enables LLMs to reason over multi-hop connections for complex queries and connect the dots between different ...
DUSt3R: Geometric 3D Vision Made Easy : Explanation and Results
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. 3D ...
Depth Pro: The Sharp Monocular Metric Depth Estimation from Apple Explanation and Applications
Depth Pro, is an foundational zero shot metric depth estimation model from Apple ML, nails at creating high resolution, sharp monocular metric depth maps in less than a second. Depth Pro achieves SOTA ...
Molmo VLM AI : Paper Explanation and Demo Applications – AllenAI (Ai2)
Molmo VLM is an exceptional open-source family of Vision-Language models, demonstrating remarkable strengths in tasks like Pointing, Counting, VQA and clock face recognition. What sets Molmo apart ...
LightRAG: Simple and Fast Alternative to GraphRAG for Legal Doc Analysis
LightRAG is an innovative approach based on GraphRAG that combines the attributes of Knowledge Graphs with embedding-based retrieval systems, making it fast as well as performant, achieving SOTA ...
Training 3D U-Net for Brain Tumor Segmentation Challenge – Medical Imaging
3D U-Net, a powerful deep learning architecture for medical image segmentation, is designed to process 3D volumetric data like brain tumors, enabling a more comprehensive and precise analysis of brain ...