Meshes are one of the most important and widely used representations of 3D assets. They are the default standard in the film, design, and gaming industries and they are natively supported by virtually all the 3D softwares and graphics hardwares. A 3D mesh can be considered as a collection of polygon faces, most commonly consisting of triangles or quadrilaterals.
]]>Accelerate your OpenUSD workflows with this free curriculum for developers and 3D practitioners.
]]>As the world faces the urgent need to combat climate change, carbon capture and storage (CCS) has emerged as a crucial technology for achieving net-zero emissions. The CCS technology��which involves capturing carbon dioxide (CO2), either from industrial emissions or through direct air capture (DAC), and securely storing it in the subsurface��can drive much-needed decarbonization strategies and help��
]]>Generative physical AI models can understand and execute actions with fine or gross motor skills within the physical world. Understanding and navigating in the 3D space of the physical world requires spatial intelligence. To achieve spatial intelligence in physical AI involves converting the real world into AI-ready virtual representations that the model can understand.
]]>At SIGGRAPH 2024 this week, NVIDIA is showcasing the latest advancements in the NVIDIA Maxine AI developer platform, available through NVIDIA AI Enterprise. This platform empowers you to deploy cutting-edge AI features that enhance audio and video quality and enable augmented reality effects. NVIDIA just announced the upcoming availability of Maxine Video Relighting for early access��
]]>An open ecosystem for physics-informed machine learning (physics-ML) fosters innovation and AI engineering applications. Physics-ML embeds into the learning process the knowledge of physical laws that govern a given dataset. This enables scientists to use prior knowledge to help train a neural network, making it more generalizable and efficient. Yet, as physics-ML is a growing field of��
]]>In today��s digital age, creating realistic animated characters is crucial for filmmakers, game developers, and content creators looking to bring their visions to life. Reallusion is at the forefront of this cutting-edge art form, using powerful AI technologies like NVIDIA Audio2Face and NVIDIA Maxine to craft lifelike digital humans and character animations. A major challenge exists in��
]]>Lattice structures are naturally and artificially made designs that are important in many scientific fields, such as materials science, aerospace engineering, and biomedical engineering. They are made by repeating patterns that connect smaller truss structures and yield a high strength-to-weight ratio. The rise of 3D printing within additive manufacturing has highlighted the significance of��
]]>In the fourth installment of this series on the superpowers of OpenUSD, learn how any digital content creation tool can be connected to USD. OpenUSD��s data source interoperability allows data from different tools to be used in the same scene or project.
]]>AI is increasingly being used to improve medical imaging for health screenings and risk assessments. Medical image segmentation, for example, provides vital data for tumor detection and treatment planning. And yet the unique and varied nature of medical images makes achieving consistent and reliable results challenging. NVIDIA MONAI Cloud APIs help solve these challenges��
]]>Photogrammetry is the process of capturing images and stitching them together to create a digital model of the physical world.
]]>The latest release of NVIDIA Omniverse delivers an exciting collection of new features based on Omniverse Kit 105, making it easier than ever for developers to get started building 3D simulation tools and workflows. Built on Universal Scene Description, known as OpenUSD, and NVIDIA RTX and AI technologies, Omniverse enables you to create advanced, real-time 3D simulation applications for��
]]>In the realm of computer graphics, achieving photorealistic visuals has been a long-sought goal. NVIDIA OptiX is a powerful and flexible ray-tracing framework, enabling you to harness the potential of ray tracing. NVIDIA OptiX is a GPU-accelerated, ray-casting API based on the CUDA parallel programming model. It gives you all the tools required to implement ray tracing, enabling you to define and��
]]>On Aug. 8, Jensen Huang features new NVIDIA technologies and award-winning research for content creation.
]]>Reconstructing a smooth surface from a point cloud is a fundamental step in creating digital twins of real-world objects and scenes. Algorithms for surface reconstruction appear in various applications, such as industrial simulation, video game development, architectural design, medical imaging, and robotics. Neural Kernel Surface Reconstruction (NKSR) is the new NVIDIA algorithm for��
]]>A new model generates 3D reconstructions using neural networks, turns 2D video clips into detailed 3D structures �� generating lifelike virtual replicas of buildings, sculptures and other real-world objects.
]]>NVIDIA will present 19 research papers at SIGGRAPH, the year��s most important computer graphics conference.
]]>Most drone inspections still require a human to manually inspect the video for defects. Computer vision can help automate and accelerate this inspection process. However, training a computer vision model to automate inspection is difficult without a large pool of labeled data for every possible defect. In a recent session at NVIDIA GTC, we shared how Exelon is using synthetic data generation��
]]>Generative AI is primed to transform the world��s industries and to solve today��s most important challenges. To enable enterprises to take advantage of the possibilities with generative AI, NVIDIA has launched NVIDIA AI Foundations and the NVIDIA NeMo framework, powered by NVIDIA DGX Cloud. NVIDIA AI Foundations are a family of cloud services that provide enterprises with a simplified��
]]>NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume NVIDIA data center GPU. T4 GPUs were deployed into use cases for AI inference, cloud gaming, video, and visual computing. At the NVIDIA GTC 2023 keynote, NVIDIA introduced several inference platforms for AI workloads��
]]>See how recent breakthroughs in generative AI are transforming media, content creation, personalized experiences, and more.
]]>To accelerate the development of 3D worlds and the metaverse, NVIDIA has launched numerous AI research projects to help creators across industries unlock new possibilities with generative AI. Generative AI will touch every aspect of the metaverse and it is already being leveraged for use cases like bringing AI avatars to life with Omniverse ACE. Many of these projects��
]]>The new NVIDIA NGP Instant NeRF is a great introduction to getting started with neural radiance fields. In as little as an hour, you can compile the codebase, prepare your images, and train your first NeRF. Unlike other NeRF implementations, Instant NeRF only takes a few minutes to train a great-looking visual. In my hands-on video (embedded), I walk you through the ins and outs of making��
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