Reality capture creates highly accurate, detailed, and immersive digital representations of environments. Innovations in site scanning and accelerated data processing, and emerging technologies like neural radiance fields (NeRFs) and Gaussian splatting are significantly enhancing the capabilities of reality capture. These technologies are revolutionizing interactions with and analyses of the��
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Researchers at Washington State University (WSU) unveiled a new AI-guided 3D printing technique that can help physicians print intricate replicas of human organs. Surgeons can then use these organ models to practice before performing the actual surgery, which gives doctors more tools to improve surgical results. The AI algorithm was trained on images and key attributes of human kidneys and��
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Deep neural networks (DNNs) are the go-to model for learning functions from data, such as image classifiers or language models. In recent years, deep models have become popular for representing the data samples themselves. For example, a deep model can be trained to represent an image, a 3D object, or a scene, an approach called Implicit Neural Representations. (See also Neural Radiance Fields and��
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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.
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Why have images not evolved past two dimensions yet? Why are we satisfied with century-old technology? What if the technology already exists that��s ready to push the content world forward and only requires a camera? That technology is neural radiance fields (NeRFs). Although this technology was created only a few years ago (2020), the pace at which it has continued to evolve cannot be ignored��
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Thousands of developers and content creators have built stunning 3D visuals with NVIDIA Instant NeRF, a rendering tool that turns a set of static images into a realistic 3D scene. Now, it is also possible to navigate Instant NeRF in VR and step into 3D creations with the latest Instant NeRF software update. Named by TIME Magazine as a top invention of 2022, Instant NeRF provides a glimpse��
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TIME Magazine named NVIDIA Instant NeRF, a technology capable of transforming 2D images into 3D scenes, one of the Best Inventions of 2022. ��Before NVIDIA Instant NeRF, creating 3D scenes required specialized equipment, expertise, and lots of time and money. Now it just takes a few photos and a few minutes,�� TIME writes in their release. The 3D rendering tool was introduced at SIGGRAPH��
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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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NVIDIA researchers collaborated with ETH Zurich and Disney Research|Studios on a new paper, ��NeRF-Tex: Neural Reflectance Field Textures�� that will be presented at the Eurographics Symposium on Rendering (EGSR) June 29 �C July 2, 2021. The paper introduces a new modeling primitive: neural reflectance field textures, or NeRF-Tex for short. NeRF-Tex is inspired by recent techniques for representing��
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