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.
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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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V2Fun
V2Fun is a comprehensive, browser-based platform that utilizes AI to facilitate the creation of 3D models and animations from text prompts, reference images, and standard videos. This innovative tool enables users to produce concept images that are not only structurally accurate but also perspective-correct, while generating high-quality assets from both single and multi-view images through advanced text processing. With features like built-in prompt optimization, it enhances inputs with spatial perspective, physically based rendering (PBR) materials, and detailed texture parameters. Additionally, its image-to-3D and text-to-3D engines maintain the artistic style, character characteristics, structural integrity, and natural lighting of the original inputs, allowing for quick iterations across various applications such as character creation, scene design, game assets, industrial models, and objects suitable for 3D printing. The platform's intelligent retopology feature delivers clean, lightweight, and editable quad meshes without compromising surface intricacy, while its AI-driven texture generator efficiently creates or replaces entire sets of PBR materials that include precise lighting, bump, gloss, and roughness data. As a result, users can seamlessly integrate various elements into their projects, enhancing creativity and productivity in the 3D design process.
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Crafiq
Crafiq serves as a comprehensive AI-driven platform dedicated to the creation of various digital assets, including 2D and 3D visuals, videos, and audio, streamlining the content generation process for creators. By combining cutting-edge AI models, the platform empowers users to efficiently produce and refine high-quality assets, whether they be vibrant 2D illustrations, intricate 3D models, engaging video snippets, or captivating audio elements. Specifically for 2D creations, Crafiq offers a range of functionalities such as generation, editing, inpainting, reframing, upscaling, background removal, and refinement, utilizing advanced models like FLUX, Nano Banana, GPT Image, and Seedream. When it comes to 3D asset production, the platform enables the transformation of images into detailed, game-ready meshes, leveraging models such as Hunyuan3D, Trellis, and Rodin among others. Additionally, Crafiq provides tools for creating isometric or top-down tiles, 360° panoramas for environmental settings, pixel-perfect assets with consistent color schemes, brief video clips, seamless loopable character animations, original sound effects, music compositions, and realistic voiceovers, ensuring a versatile creative experience for users. Ultimately, Crafiq stands out as an invaluable resource for creators aiming to enhance their workflow and bring their artistic visions to life with unprecedented speed and efficiency.
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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
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