This repository contains Python code for generating 3D meshes from 2D images using computer vision techniques. The process involves extracting depth information from 2D images to reconstruct a 3D ...

For multivariable functions, partial derivative measures the rate of change with respect to each of the independent variables. It is also referred to as the gradient of the function. The gradient of a ...

By anchoring the latent representations to this SMPL model, a dynamic mesh of the human body is developed. This model enables quick inference on 3D reconstruction and novel view synthesis. Neural Body ...

InstantMesh, an AI framework developed by researchers from Tencent PCG ARC Lab and Shanghai Tech University, can generate high-quality 3D meshes from individual 2D images in just ten seconds, ...

This paper proposes a fast gradient-based mesh generation method for the stereo image representation. In our approach, right image in stereo image and intermediate views are fundamentally predicted ...

3D model generation from synthetic 2D images. Nvidia's research team has developed a two-step generation process: The geometry branch generates the polygon mesh with any desired topology. The texture ...

We present As-Plausible-as-Possible (APAP) mesh deformation technique that leverages 2D diffusion priors to preserve the plausibility of a mesh under user-controlled deformation. Our framework uses ...

Recently, gradient meshes have been introduced as a powerful vector graphics representation to draw multicolored mesh objects with smooth transitions. Using tools from Abode Illustrator and Corel ...