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ease
features
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support

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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.

Description

We create a three-dimensional signed distance field (SDF) and a textured field using two latent codes. DMTet is employed to derive a 3D surface mesh from the SDF, and we sample the texture field at the surface points to obtain color information. Our training incorporates adversarial losses focused on 2D images, specifically utilizing a rasterization-based differentiable renderer to produce both RGB images and silhouettes. To distinguish between genuine and generated inputs, we implement two separate 2D discriminators—one for RGB images and another for silhouettes. The entire framework is designed to be trainable in an end-to-end manner. As various sectors increasingly transition towards the development of expansive 3D virtual environments, the demand for scalable tools that can generate substantial quantities of high-quality and diverse 3D content has become apparent. Our research endeavors to create effective 3D generative models capable of producing textured meshes that can be seamlessly integrated into 3D rendering engines, thereby facilitating their immediate application in various downstream uses. This approach not only addresses the scalability challenge but also enhances the potential for innovative applications in virtual reality and gaming.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fujiyama

Founded

2011

Country

Japan

Website

tsubo164.github.io/Fujiyama-Docs/

Vendor Details

Company Name

NVIDIA

Country

United States

Website

nv-tlabs.github.io/GET3D/

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Product Features

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