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Gemini 3 and 200+ AI Models on One Platform
Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.
Build generative AI apps with Vertex AI. Switch between models without switching platforms.
...Instead of explicitly fitting a 3D model via landmark estimation and deformation, VRN treats the reconstruction task as volumetric segmentation: it learns a CNN to regress a 3D volume aligned to the input image, and then extracts a mesh via isosurface from that volume. The network is unguided (no 2D landmarks as intermediate). The mesh surfaces can be textured (in MATLAB branch) and colored. Docker container provided for easy CPU deployment.
Simulate the optical reflectance from an infinite turbid medium under an ideal oblique incidence optical source.
Two versions are implemented: CPU and GPU. They both generate statistically the same results but GPU version works much faster.
Our project consist in porting positioning algorithms on a GPU. We will improve programs which are already working on CPU in order to make them compatible with the CUDA technology offered by Nvidia.
The advantage of this technology is that it allows us to use massive multithreading and so make calculations go faster. Algorithms will be implemented in C++.