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About

Ambient Mesh is a next-generation, sidecar-less service mesh designed to simplify security, connectivity, and observability for cloud-native workloads. It enables teams to secure and connect applications without modifying application code or adding operational overhead. Ambient Mesh provides zero-trust, SPIFFE-based security with end-to-end workload encryption. Built-in observability tools deliver distributed tracing, logs, and real-time performance insights. The platform supports advanced traffic control features such as routing, failover, and blue-green deployments. Ambient Mesh allows organizations to migrate from traditional sidecar-based meshes with zero downtime. By reducing complexity and resource usage, it helps teams operate more efficiently at scale.

About

Text2Mesh produces color and geometric details over a variety of source meshes, driven by a target text prompt. Our stylization results coherently blend unique and ostensibly unrelated combinations of text, capturing both global semantics and part-aware attributes. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Ambient Mesh is designed for platform engineers, DevOps teams, and enterprises running Kubernetes-based microservices who want a simpler, more efficient alternative to traditional sidecar-based service meshes

Audience

Organizations that need a complete AI 3D Model Generator solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Ambient Mesh
Founded: 2017
United States
ambientmesh.io

Company Information

Text2Mesh
threedle.github.io/text2mesh/

Alternatives

Alternatives

HunyuanWorld

HunyuanWorld

Tencent

Categories

Categories

Integrations

Amazon EKS
Amazon EKS Anywhere
Amazon Web Services (AWS)
Azure Kubernetes Service (AKS)
Cilium
Envoy
Google Cloud Platform
Google Kubernetes Engine (GKE)
GraphQL
Hubble
Istio
Kubernetes
Microsoft Azure
Red Hat OpenShift
Solo Enterprise
Splunk APM
agentgateway
kgateway

Integrations

Amazon EKS
Amazon EKS Anywhere
Amazon Web Services (AWS)
Azure Kubernetes Service (AKS)
Cilium
Envoy
Google Cloud Platform
Google Kubernetes Engine (GKE)
GraphQL
Hubble
Istio
Kubernetes
Microsoft Azure
Red Hat OpenShift
Solo Enterprise
Splunk APM
agentgateway
kgateway
Claim Ambient Mesh and update features and information
Claim Ambient Mesh and update features and information
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