338 research outputs found
A VIRTUAL SUB-DOMAIN ROUTING MECHANISM TO IMPROVE ROUTING EFFICIENCY FOR LOW-POWER AND LOSSY NETWORKS
Techniques are provided herein to optimize the routing path between normal nodes and a fog node in a non-storing mesh network. The transmission between normal nodes and the application fog node is more efficient and little additional calculation or storage is required on the normal nodes
3D-aware Image Generation using 2D Diffusion Models
In this paper, we introduce a novel 3D-aware image generation method that
leverages 2D diffusion models. We formulate the 3D-aware image generation task
as multiview 2D image set generation, and further to a sequential
unconditional-conditional multiview image generation process. This allows us to
utilize 2D diffusion models to boost the generative modeling power of the
method. Additionally, we incorporate depth information from monocular depth
estimators to construct the training data for the conditional diffusion model
using only still images. We train our method on a large-scale dataset, i.e.,
ImageNet, which is not addressed by previous methods. It produces high-quality
images that significantly outperform prior methods. Furthermore, our approach
showcases its capability to generate instances with large view angles, even
though the training images are diverse and unaligned, gathered from
"in-the-wild" real-world environments.Comment: Website: https://jeffreyxiang.github.io/ivid
DYNAMICALLY MITIGATING BOTTLENECK EFFECT TO GUARANTEE QUALITY OF SERVICE IN LOW-POWER AND LOSSY NETWORKS
Techniques are described herein for providing an intelligent and dynamic routing policy for Quality of Service (QoS) based on Routing Protocol for Low-Power and Lossy Networks (RPL) Directed Acyclic Graph (DAG). This helps mitigate the bottleneck effect in a connected grid mesh by forecasting the capacity of the routing path. Each sender device may be able to forward packets based on QoS requirements to the proper next hop before RPL DAG updates by Expected Transmission Count (ETX) change. With this approach, the QoS of latency sensitive or low packet loss tolerance services can be better satisfied in the connected grid mesh network
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