How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
This repository contains the TensorFlow implementation for the following paper
The main features of nywang16/pixel2mesh are: 3D Reconstruction, Computer Vision Research, Object Reconstruction.
Open-source alternatives to nywang16/pixel2mesh include: chrischoy/3d-r2n2 — Single/multi view image(s) to voxel reconstruction using a recurrent neural network. fanhqme/pointsetgeneration — Training scripts and a couple of trained demo networks are included. More demos and the complete set of data are on… yulequan/pu-net — PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761). colmap/colmap — COLMAP is a 3D scene reconstruction suite and C++ geometry library that implements a full structure-from-motion… microsoft/trellis.2 — TRELLIS.2 is a generative image-to-3D system that creates high-resolution 3D assets with physically based rendering… ashawkey/stable-dreamfusion — This project is a diffusion-based 3D generator and image-to-3D reconstruction system. It translates natural language…
Training scripts and a couple of trained demo networks are included. More demos and the complete set of data are on the road.
PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
COLMAP is a 3D scene reconstruction suite and C++ geometry library that implements a full structure-from-motion pipeline. It functions as a GPU-accelerated photogrammetry tool and multi-view stereo framework designed to produce dense 3D geometry and watertight meshes from collections of 2D images. The project distinguishes itself through hardware-accelerated feature extraction and a modular camera modeling system that supports perspective, fisheye, and equirectangular lens types. It employs vocabulary tree image retrieval to efficiently identify similar images in large datasets and provides P