GET3D 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.
GET3D Alternatives
Azore CFD
Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
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UTunnel VPN and ZTNA
UTunnel Secure Access delivers Cloud VPN, ZTNA, and Mesh Networking solutions to ensure secure remote access and smooth network connectivity.
ACCESS GATEWAY: Our Cloud VPN as a Service enables quick deployment of Cloud or On-Premise VPN servers. Utilizing OpenVPN and IPSec protocols, it facilitates secure remote connections with policy-based access control, allowing you to easily establish a VPN network for your business.
ONE-CLICK ACCESS: The Zero Trust Application Access (ZTAA) solution transforms secure access to internal business applications such as HTTP, HTTPS, SSH, and RDP. Users can access these applications through web browsers without needing client software.
MESHCONNECT: This Zero Trust Network Access (ZTNA) and mesh networking solution provides granular access controls to specific business network resources and supports the creation of secure interconnected business networks.
SITE-TO-SITE VPN: The Access Gateway solution also allows for the setup of secure IPSec Site-to-Site tunnels. These tunnels can connect UTunnel's VPN servers with other network gateways, firewalls, routers, and unified threat management (UTM) systems.
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Meshy
Meshy is an innovative suite designed for 3D generative AI production. By utilizing our AI texturing and modeling tools, creators can significantly speed up the process of generating 3D content. The AI texturing feature empowers artists to input either text prompts or 2D concept art alongside an untextured model, allowing the AI to automatically apply textures in under three minutes. Our art-directable AI modeling tool further simplifies the crafting of 3D models, enabling artists to create impressive, high-poly designs from reference images or text prompts without needing advanced tools like ZBrush or RealityCapture. This means you can say goodbye to spending days on modeling and texturing, as 3D creations can be completed in mere minutes. Generate stunning 3D assets straight from 2D designs, regardless of your expertise in prompting. Upload your model and express any idea you envision in the prompt box, and within less than three minutes, you'll have a fully textured model ready for use. Our ambition is to revolutionize the entire 3D production pipeline through the power of generative AI, making high-quality 3D creation accessible to everyone.
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RODIN
This innovative 3D avatar diffusion model is an artificial intelligence framework designed to create exceptionally detailed digital avatars in three dimensions. Users can explore the resulting avatars from all angles, enjoying an unprecedented level of quality in their visuals. By significantly streamlining the traditionally intricate process of 3D modeling, this model paves the way for new creative possibilities for 3D artists. It generates these avatars utilizing neural radiance fields, leveraging cutting-edge generative techniques known as diffusion models. The approach incorporates a tri-plane representation to effectively decompose the neural radiance field of the avatars, allowing for explicit modeling through diffusion and rendering images via volumetric techniques. Moreover, the introduction of 3D-aware convolution enhances computational efficiency, all while maintaining the fidelity of diffusion modeling in the three-dimensional space. The entire generation process operates hierarchically, utilizing cascaded diffusion models to facilitate multi-scale modeling, which further refines the intricacies of avatar creation. This advancement not only changes the landscape of digital avatar production but also enhances collaborative efforts among artists and developers in the field.
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Integrations
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Company Details
Company:
NVIDIA
Headquarters:
United States
Website:
nv-tlabs.github.io/GET3D/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support
GET3D Features and Options
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