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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

GigaChat is adept at addressing user inquiries, engaging in conversations, generating program code, and producing written content and images based on provided descriptions, all within a cohesive framework. In contrast to other neural networks, GigaChat is designed from the ground up to facilitate multimodal interactions and demonstrates superior proficiency in the Russian language. The foundation of GigaChat lies in the NeONKA (NEural Omnimodal Network with Knowledge-Awareness) model, which consists of a diverse array of neural network systems and employs techniques such as supervised fine-tuning and reinforcement learning enhanced by human feedback. As a result, Sber's innovative neural network is capable of tackling a variety of cognitive challenges, including maintaining engaging dialogues, generating informative texts, and answering factual queries. Moreover, the integration of the Kandinsky 2.1 model within this ensemble enhances its capabilities, enabling the creation of intricate images based on user prompts, thereby expanding the potential applications of the service. This multifaceted functionality positions GigaChat as a versatile tool in the realm of artificial intelligence.

Description

Text2Mesh generates intricate geometric and color details across various source meshes, guided by a specified text prompt. The results of our stylization process seamlessly integrate unique and seemingly unrelated text combinations, effectively capturing both overarching semantics and specific part-aware features. Our system, Text2Mesh, enhances a 3D mesh by predicting colors and local geometric intricacies that align with the desired text prompt. We adopt a disentangled representation of a 3D object, using a fixed mesh as content integrated with a learned neural network, which we refer to as the neural style field network. To alter the style, we compute a similarity score between the style-describing text prompt and the stylized mesh by leveraging CLIP's representational capabilities. What sets Text2Mesh apart is its independence from a pre-existing generative model or a specialized dataset of 3D meshes. Furthermore, it is capable of processing low-quality meshes, including those with non-manifold structures and arbitrary genus, without the need for UV parameterization, thus enhancing its versatility in various applications. This flexibility makes Text2Mesh a powerful tool for artists and developers looking to create stylized 3D models effortlessly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GigaChat 3 Ultra

Integrations

GigaChat 3 Ultra

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Sberbank

Founded

1841

Country

Russia

Website

giga.chat/

Vendor Details

Company Name

Text2Mesh

Website

threedle.github.io/text2mesh/

Product Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Product Features

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Alternatives

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