PDF:Pulsar: Efficient Sphere-based Neural Rendering Abstract We propose Pulsar, an efficient sphere-based differentiable renderer that is orders of magnitude faster than competing techniques, modular, and easy-to-use due to its tight integration with PyTorch. Differentiable rendering is the foundation f...
Pulsar: Efficient Sphere-based Neural Renderingdoi:10.1109/CVPR46437.2021.00149Christoph LassnerMichael ZollhoferIEEEComputer Vision and Pattern Recognition
models, Bayesian models, or artificial neural networks (NNs). A “deep neural network,” in the context of deep learning, may refer to a NN that utilizes multiple hidden layers between input and output layers, which may allow for learning based on features not explicitly defined in raw data...
This texture is then fine-tuned by differentiable rendering (Laine et al., 2020) through a UV-space refinement stage (Section 3.3) for final exportation. 在本节中,我们将介绍为图像到3d和文本到3d任务高效生成3d内容的两阶段框架,如图2所示。首先,我们将三维高斯溅射 (kerbl等人,2023)引入生成任务中,...
At the same time, CdSe magic-sized QDs reveal broadband emission in the visible wavelength region, which advantageously offer simple integration of a single-type of nanomaterial and high color rendering ability for white light-emitting diodes (LEDs). Here, we optimized the quantum yield of magic-...
Neural 3d mesh renderer. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 18–23 June 2018; pp. 3907–3916. [Google Scholar] Liu, S.; Chen, W.; Li, T.; Li, H. Soft rasterizer: Differentiable rendering for unsupervised single-...
Just six spheres were used to render the samples by randomizing the sphere radius. 3.6.4. Cloud Generation from 3D Meshes This section explains the last geometry innovation for real-time cloud rendering based on using three-dimensional mesh editors like Blender, 3D Studio, or Maya. Making ...
The optimization process from sphere to airplane is shown as followed,please refer the Code. Basic Tutorial 3:Rendering Specular Materials We implement the PBR shading models based on the microfacet theory in Jrender, which could be used to render specular/glossy materials. And the users could co...
Canuto. Efficient estimation of second virial coefficients of fused hard-sphere molecules by an artificial neural network. Phys. Chem. Chem. Phys. 3:4762-4768 (2001). doi:10.1039/b105183k.L. E. S. D. Souza, and S. Canuto. Efficient estimation of second virial coefficients of fused hard...
We eliminate the reliance on massive real training data by modifying convolutional neural network in 3 aspects: synthetic data rendering for training data generation in large quantities, multi-triplet cost function modification for multi-task learning and compact micro architecture design for producing ...