AZoOptics on MSN
End-to-end differentiable design of geometric waveguide displays
A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and uniformity for optical AR displays.
The last few years have seen a rise in novel differentiable graphics layers which can be inserted in neural network architectures. From spatial transformers to differentiable graphics renderers, these ...
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Abstract: Ensuring safety in the navigation of multi-robot systems using control barrier functions has traditionally involved the utilization of a pre-tuned class- $\mathcal{K}$ function specifically ...
ABSTRACT: Node of network has lots of information, such as topology, text and label information. Therefore, node classification is an open issue. Recently, one vector of node is directly connected at ...
Includes reverberation, distortion, dynamic range processing, equalization, stereo processing. Enables virtual analog modeling, blind parameter estimation, automated DSP, and style transfer. Batching ...
Diffusion models have revolutionized generative modeling across various data types. However, in practical applications like generating aesthetically pleasing images from text descriptions, fine-tuning ...
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