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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

C-Radiant serves as an add-on module that enhances Aechelon Technology's pC-Nova image generator with sophisticated physics-based spectral rendering, autogain features, and various noise and sensor special effects, all achieved through advanced shader technology, eliminating the necessity for hardware post-processing solutions. In conjunction with Aechelon Technology's C-Genesis database architecture and toolset, C-Radiant enables the utilization of a unified runtime and database for both current and upcoming sensors. The database's material descriptions extend beyond a single band to encompass the entire spectrum, facilitating the creation of correlated multi-sensor outputs, such as Night Vision Goggles (NVG), Forward Looking InfraRed (FLIR), and Radar systems. This innovative approach guarantees flawless mutual correlation at a per-pixel level across all sensors and the Out-The-Window view, operating seamlessly at a refresh rate of 60Hz. As a result, users can expect enhanced visual fidelity and realism in their imaging applications.

Description

Fujiyama is a free and open-source ray-tracing renderer that is tailored for production image rendering with a focus on distribution. It features multi-threaded rendering that dynamically assigns tile rendering to each thread, enhancing efficiency. The rendering preview tool, fbview, allows users to monitor the progress of their rendering tasks. Additionally, region rendering significantly speeds up the distribution rendering pipeline, while the renderer employs tile-based rendering techniques. Among its capabilities are three distinct Volume Filling Procedures: the Pyroclastic clouds procedure, the Spline wisps procedure, and the Surface wisps procedure. It also supports on-demand reading of mipmaps, allowing for an unlimited variety of texture images. The pluggable shader DSO enables users to create shaders using C/C++, with subsurface scattering integrated directly into the shader framework. Bump mapping is facilitated by modifying normals based on mipmap images, and primitive groups allow multiple shaders to be assigned to a triangle mesh. Moreover, Fujiyama incorporates Gaussian and Box pixel filters that accommodate filter widths exceeding one pixel. Lastly, its adaptive grid pixel sampling subdivides pixels according to color thresholds, ensuring high-quality rendering results. Together, these features make Fujiyama a versatile and powerful tool for rendering needs.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Aechelon Technology

Founded

1998

Country

United States

Website

www.aechelon.com/test/cradiant.php

Vendor Details

Company Name

Fujiyama

Founded

2011

Country

Japan

Website

tsubo164.github.io/Fujiyama-Docs/

Product Features

Simulation

1D Simulation No 
3D Modeling Yes 
3D Simulation Yes 
Agent-Based Modeling Yes 
Continuous Modeling No 
Design Analysis No 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database Yes 
Monte Carlo Simulation No 
Motion Modeling No 
Presentation Tools Yes 
Stochastic Modeling No 
Turbulence Modeling Yes 

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