Explore the Stunning Intel 4004 Moore Lane USD Scene on Deepal
Table of Contents
- Introduction
- The Deepal Project
- The Purpose of Deepal
- The ASWF Deepal Platform
- Assets Hosted on Deepal
- Stem2 Image Data Set
- Animal Logics A-Lab USD Production Scene
- AWS NOAA Character
- Collection of VDB Cloud Assets
- Intel's 4004 Moore Lane 3D Scene
- Overview of Intel's 4004 Moore Lane Asset
- Development alongside Embree 4.0
- Rendered Views of the Asset
- Composed High-Quality Scene
- testing Various Visual Computing Issues
- USD Structure and Layered Approach
- Accessing and Using the Scene
- Contributions and Community Usage
- Conclusion
Introduction
In the world of digital production, having access to a vast library of assets is crucial. It not only facilitates benchmarking but also aids in research and development for various projects. However, there has been a growing gap between the complexity of open-source assets and those employed in production. To bridge this gap, the Deepal Project was established by the Academy Software Foundation (ASWF). This article will delve into the details of the Deepal Project, its purpose, and the assets it hosts.
The Deepal Project
The Deepal Project, also known as the ASWF Deepal, was initially formed as a working group within the Academy Software Foundation. Its primary objective was to address the growing disparity between open-source assets used for benchmarking and those utilized in production. Over time, the working group evolved into the Deepal Project, which developed a new license called the ASWF Digital Assets License.
The Purpose of Deepal
The ASWF Digital Assets License aims to encourage the publication of production-grade sample assets. By doing so, Deepal aims to close the gap between the complexity of open-source assets and assets employed in real-world production scenarios. This not only benefits the industry as a whole but also fosters collaboration and innovation.
The ASWF Deepal Platform
The ASWF Deepal also hosts a platform, a web page launched at SIGGRAPH, which serves as a hub for hosting the assets developed under the Deepal Project. Regular open meetings are conducted to foster engagement and encourage more studios and vendors to join the initiative. This platform provides a centralized space for the community to access and contribute to the growing library of assets.
Assets Hosted on Deepal
The assets hosted on the Deepal platform have been met with great success. Some notable assets include the following:
Stem2 Image Data Set
The Stem2 Image Data Set is specifically designed for testing color pipelines, image processing, and projection systems. It provides a comprehensive set of images that allow researchers and developers to benchmark and analyze various aspects of their visual computing workflows.
Animal Logics A-Lab USD Production Scene
The Animal Logics A-Lab USD Production Scene consists of over 300 assets, including two fully rigged characters with looping animations. This scene serves as a valuable resource for production teams looking to test and develop their workflows using the Universal Scene Description (USD).
AWS NOAA Character
The AWS NOAA Character is an animatable character that comes complete with a full rig and groom. It is an ideal asset for studios and artists who require a ready-to-use character in their projects.
Collection of VDB Cloud Assets
Intel's team has contributed a collection of VDB (Vector Displacement Blue) cloud assets to the Deepal Project. These assets provide realistic and customizable cloud formations, which can add depth and complexity to visual effects and rendering workflows.
Intel's 4004 Moore Lane 3D Scene
One of the key assets hosted on Deepal is Intel's 4004 Moore Lane 3D Scene. Developed alongside the Embry 4.0 open-source high-performance ray tracing library, this scene showcases the capabilities of ray tracing hardware on Intel GPUs.
Overview of Intel's 4004 Moore Lane Asset
The 4004 Moore Lane scene depicts a multi-room house in a rural setting. It serves as a comprehensive test case for various rendering situations while also being visually appealing for publishing and demos. The interior and exterior of the house are meticulously designed to incorporate challenging elements like thin openings, deeply shadowed corners, and high-frequency details.
Rendered using Karma, the asset provides different viewpoints, including the front, kitchen, living room, dining area, and rear of the house. Each viewpoint offers unique challenges for rendering and showcases the capabilities of the scene.
To ensure accessibility, the asset was developed using pure Universal Scene Description (USD) preview shaders. This allows users to utilize the asset seamlessly across different platforms and software.
Testing Various Visual Computing Issues
The 4004 Moore Lane asset is specifically designed to test various visual computing issues. The scene incorporates complex lighting scenarios, noise sampling challenges, and intricate geometry. By simulating real-world production scenarios, the asset provides a platform for researchers and developers to explore and improve their visual computing workflows.
USD Structure and Layered Approach
The USD structure of the 4004 Moore Lane asset is designed to facilitate easy access to core render issues. The root USD asset consists of the main house structure and the exterior terrain, excluding the flora instances. Materials are layered over the Course scene, enabling researchers to focus on specific render issues and conduct material research and development.
Additionally, the asset provides separate USD files for the full scene geometry and minimal core materials. This layered approach allows users to lighten the scene load and provides multiple entry points for experimentation and exploration.
Accessing and Using the Scene
To make the 4004 Moore Lane asset accessible and user-friendly, multiple options have been provided. Users can directly access the fully composed USD scene by referencing the provided USD file within their preferred digital content creation (DCC) software. Detailed documentation will be made available with the asset to guide users through the process.
Furthermore, a HIP file is provided as an example of the pipeline within Houdini Solaris with Karma as the target Hydra delegate. The scene has been thoroughly tested and verified across various render delegates, including DreamWorks Moon Ray, Autodesk Arnold, Redshift, Octane, and the standalone Nvidia Omniverse platform.
Contributions and Community Usage
The 4004 Moore Lane asset has already gained attention and usage within the community. DreamWorks Animation, using their open-source production renderer Moon Ray, has contributed renders showcasing the capabilities of the asset. The asset has provided valuable insights into USD constructs, enabling the Moon Ray team to enhance their pipeline and further their USD integration efforts.
Intel encourages studios and vendors to contribute and utilize the Deepal Project. By sharing assets and collaborating, the community can collectively push the boundaries of visual computing and establish Deepal as a go-to resource for industry professionals.
Conclusion
The Deepal Project, under the umbrella of the Academy Software Foundation, is making significant strides in bridging the gap between open-source assets and production-grade assets. With a growing library of assets hosted on the Deepal platform, studios and vendors have access to a wide range of resources for benchmarks, research, and development. Intel's 4004 Moore Lane asset stands as a testament to the project's ambitions and has already garnered attention and contributions from the community. Deepal is poised to become an essential tool for the industry, fostering collaboration, innovation, and the advancement of visual computing.
Highlights:
- The Deepal Project aims to close the gap between open-source and production-grade assets.
- The ASWF Deepal hosts a platform for hosting and accessing assets.
- Notable assets on Deepal include the Stem2 Image Data Set and Animal Logics A-Lab USD Production Scene.
- Intel's 4004 Moore Lane asset is a comprehensive 3D scene developed for testing visual computing issues.
- The asset provides layered USD files and is accessible across various software and rendering platforms.
FAQs
Q: What is the purpose of the Deepal Project?
A: The Deepal Project aims to bridge the gap between the complexity of open-source assets and those employed in production by encouraging the publication of production-grade sample assets.
Q: How can I access the assets hosted on Deepal?
A: The assets can be accessed through the Deepal platform, a web page launched at SIGGRAPH. The assets are available for download and can be utilized in various digital content creation (DCC) software.
Q: Can I contribute my own assets to the Deepal Project?
A: Yes, the Deepal Project encourages studios and vendors to contribute assets to the platform. By sharing assets, the community can collectively push the boundaries of visual computing.
Q: Are there any specific requirements for using the 4004 Moore Lane asset?
A: The 4004 Moore Lane asset can be used with any software that supports Universal Scene Description (USD) preview shaders. Detailed documentation is provided with the asset to guide users through the process.
Q: How has the 4004 Moore Lane asset been utilized by the community?
A: The asset has been utilized by studios like DreamWorks Animation to enhance their workflows and renderers. It has provided valuable insights into USD constructs and has been instrumental in improving integration efforts.
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