Posts by Niko Vuokko
AMD-Powered 3D Gaussian Splatting for Autonomous Driving Scenes
- 07 May 2026
3D Gaussian Splatting (3DGS) is an innovative, explicit scene representation and rendering technique. It reconstructs photorealistic 3D environments from a set of images of the scene from a variety of angles. It represents a scene as a vast, learnable collection of 3D Gaussians, which are optimized with backpropagation using a differentiable rasterizer. This pipeline enables real-time novel view synthesis of the scene – generating images of the scene from previously unseen angles. It also permits easy scene editing by moving, copying, recolouring, etc. parts of the reconstructed 3D structure.
Styled Text Image Generation with Eruku on AMD
- 24 April 2026
Producing text images where text is both readable and controllable while faithfully matching a target visual style is a challenging problem. It has broad applications ranging from synthetic handwritten text generation to graphic design. In these settings, you need more than plausible images; you need precise control over both text content and visual fidelity. This is where Eruku[1] stands out.
3D Scene Reconstruction from the Inside: Explore the Mathematics Behind gsplat
- 16 December 2025
3D Gaussian Splatting (3DGS) reconstructs 3D scenes from multiple 2D images and renders novel views in real time. In this blog, which serves as a follow up to a previous post, Elevating 3D Scene Rendering with GSplat, you will learn the core mathematics and the practical library components behind 3DGS using gsplat.
VLM Fine-Tuning for Robotics on AMD Enterprise AI Suite
- 28 November 2025
Vision-language models (VLMs) power applications from image captioning to robotics instruction following, but full model fine-tuning is resource-intensive and slow. Low-Rank Adaptation (LoRA) offers a faster, more efficient alternative by training only a small set of injected parameters while keeping the base model frozen.