Extracting Triangular 3D Models, Materials, and Lighting From Images
We learn topology, materials, and environment map lighting jointly from 2D supervision. We directly optimize topology of a triangle mesh, learn materials through volumetric texturing, and leverage differentiable split sum environment lighting. Our output representation is a triangle mesh with spatially varying 2D textures and a high dynamic range environment map, which can be used unmodified in st
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
We generate a 3D SDF and a texture field via two latent codes. We utilize DMTet to extract a 3D surface mesh from the SDF, and query the texture field at surface points to get colors. We train with adversarial losses defined on 2D images. In particular, we use a rasterization-based differentiable renderer to obtain RGB images and silhouettes. We utilize two 2D discriminators, each on RGB image, an
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Neural gigapixel images Neural SDF NeRF Neural volume We demonstrate near-instant training of neural graphics primitives on a single GPU for multiple tasks. In gigapixel image we represent an image by a neural network. SDF learns a signed distance function in 3D space whose zero level-set represents a 2D surface. NeRF [Mildenhall et al. 2020] uses 2D images and their camera poses to reconstruct a
Pixar Universal Scene Description (USD)
NVIDIA continues to expand development of Universal Scene Description (OpenUSD or USD) to help our industrial and scientific communities build large-scale, physically accurate digital twins. OpenUSD is foundational to NVIDIA Omniverse™, the platform for developing OpenUSD applications for industrial digitalization and generative physical AI. NVIDIA is also working with an ecosystem of partners thr
Get Started With Jetson Nano Developer Kit
Get Started With Jetson Nano Developer Kit Click here for the guide based on Jetson Nano 2GB Developer Kit. Introduction The NVIDIA® Jetson Nano™ Developer Kit is a small AI computer for makers, learners, and developers. After following along with this brief guide, you’ll be ready to start building practical AI applications, cool AI robots, and more. microSD card slot for main storage 40-pin expan
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How to Check GPU (Intel/AMD/NVIDIA) Usage in Ubuntu 22.04 | 20.04 - TechGit
GitHub - NVlabs/instant-ngp: Instant neural graphics primitives: lightning fast NeRF and more
【後藤弘茂のWeekly海外ニュース】 NVIDIAが世界最多トランジスタ数のチップ「GK110」を公開