3D Gaussian splatting (3DGS) has recently gained recognition as a groundbreaking approach in radiance fields and computer graphics. It stands out as a jack of all trades, addressing challenges that ...
Apple “Depth Pro: Sharp Monocular Metric Depth in Less Than a Second” – Paper Explanation and Applications
Depth Pro, is an excellent foundational, zero shot metric depth estimator from Apple ML, nails at creating high resolution, sharp metric depth maps in mere seconds. Imagine reviving those ...
3D Gaussian Splatting Introduction – Paper Explanation & Training on Custom Datasets with NeRF Studio Gsplats
3D Gaussian Splatting (3DGS) is redefining the landscape of 3D computer graphics and vision — but here’s a twist: it achieves groundbreaking results without relying on any neural networks, not even a ...
The Annotated NeRF – Training on Custom Dataset from Scratch in Pytorch
In recent years, the field of 3D from multi-view has become one of the most popular topics in computer vision conferences, with a high number of submitted papers each year. A groundbreaking paper in ...
Training 3D U-Net for Brain Tumor Segmentation (BraTS2023-GLI) Challenge
3D U-Net, an efficient paradigm in medical segmentation, excels at analyzing 3D volumetric data, allowing it to capture a holistic view of brain scans. In many parts of the world, ...
Sapiens: Foundation for Human Vision Models by Meta
Sapiens, a family of foundational Human Vision Models by Rawal et al., from Meta, achieves state-of-the-art results for human centric tasks like 2D pose estimation, body-part segmentation, depth ...
