Open Source Python 3D Viewers for ChromeOS

PoJamas aims to provide a Python and tools for loading, processing, and producing .cr2, pz3 (crz, pzz) files compatible with the SmithMicro (e-frontier) Poser character animation application. PoJamas is composed of: - Python library - Python Wavefront (.obj) 3D viewer based on GLFW - LibreOffice/Python Application (to ease the library and the viewer usage) As of 2020, the project is ported in Python3 As of 2021 this project proposes a 3D viewer for Wavefront files (pypos3dv) PyPosPosLO v0.15 (and above) provides the means to easily create Poser Mechanical Character. Results can be seen here: https://sharecg.com/v/94509/view/11/Poser/Hawker-Tempest-Character-v2

3D rendering engine made using Python as an exploratory adventure into the world of 3D graphics. It also Incorporates the wireless display handler from the Electronic-Shelf-Label-Management-System V2.0. Based on the work of Rad-hi: https://github.com/Rad-hi/3D-Rendering-Desktop-App Used .obj file: https://free3d.com/3d-model/low_poly_tree-816203.html

ML Sharp is a research code release that turns a single 2D photograph into a photorealistic 3D representation that can be rendered from nearby viewpoints. Instead of requiring multi-view input, it predicts the parameters of a 3D Gaussian scene representation directly from one image using a single forward pass through a neural network. The core idea is speed: the 3D representation is produced in under a second on a standard GPU, and then the resulting scene can be rendered in real time to generate new views interactively. The representation is metric, meaning it supports camera movements with an absolute scale rather than only relative depth cues, which is useful for consistent viewpoint changes and downstream spatial tasks. The project is structured for reproducibility, with code and assets aimed at demonstrating view synthesis quality, sharp details, and fine structures when rendering high-resolution images.