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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
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/