News

🎉 The entire Crystal system will gradually release the Python-supported version as open source in 2026 after code standardization, and achieve full open source by 2027. Stay tuned!

Crystal - Redefining the New Era of Hyper-Realistic Medical Image Rendering.

Introduction

Crystal features a powerful built-in rendering engine that supports rendering various data types, including but not limited to mesh data, volumetric data, point clouds, Gaussian kernels, and implicit neural field data. It offers multiple rendering modes such as volumetric path tracing, mesh-volume hybrid rendering, neural radiance field rendering and point cloud rendering. A notable feature of the Crystal engine is its support for cinematic-quality rendering effects across various visualization modes.

Demo of 3DGS

👉 Have a Try!

Timeline of Recent Updates

202X.XX.XX

The Crystal engine supports 3D-Gaussian-Splatting! You can generate the dataset with Blender/Colmap format. The point cloud can be generated by Crystal.

202X.XX.XX

The Crystal engine supports Json format scene preset file! Pystal can load the whole scene defined by Json.

202X.XX.XX

The Crystal engine supports dragging volume data files, allowing only mask changes to be made. Starting to support single frame multi spp rendering, 4196 spp high-definition and low-noise images can be obtained within 20 seconds.

202X.XX.XX

import pystal as ctl
ctl.load_data("scene.txt","datamapper.txt")
ctl.set_spp(1024)
ctl.rendering()

Python support has been provided for the renderer, allowing the rendering functionality to be directly called from Python scripts, and enabling the direct import of rendering output arrays into Python programs!

202X.XX.XX

We have generated compatible formats for neural rendering and 3D reconstruction techniques.

202X.XX.XX

We have generated compatible formats for neural rendering and 3D reconstruction techniques.