AI Sharing Circle

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NitroGen - 英伟达联合斯坦福大学、加州理工等开源的游戏AI模型

NitroGen - NVIDIA's open-source gaming AI model in conjunction with Stanford, Caltech, and others

NitroGen is an open source gaming AI model developed by NVIDIA in conjunction with Stanford University, Caltech, and other institutions, capable of playing over 1,000 different types of games. The model is based on the GROOT N1.5 architecture, and is realized by analyzing 40,000 hours of game video data (including joystick operation annotation)...
7mos ago
058.1K
Qwen-Image-Layered - 阿里团队开源的AI图像编辑模型

Qwen-Image-Layered - AI image editing model open-sourced by Ali team

Qwen-Image-Layered is an open source AI image editing model by Ali team, which can intelligently decompose ordinary images into independent transparent layers to achieve accurate editing similar to Photoshop. The model is open source using the Apache 2.0 protocol and supports flexible control of layers...
7mos ago
058.8K
VTP - MiniMax海螺视频团队开源的视觉生成模型技术

VTP - MiniMax Conch Video Team's Open Source Visual Generative Modeling Technology

VTP (Visual Tokenizer Pre-training) is a key technology for visual generative models proposed by MiniMax Conch Video team, which enhances the performance of generative systems by improving the pre-training method of visual tokenizer (tokenizer). The traditional method...
7mos ago
054.5K
T5Gemma 2 - 谷歌开源的新一代编码器-解码器模型

T5Gemma 2 - Google's open source next generation encoder-decoder model

T5Gemma 2 is a new generation encoder-decoder model open-sourced by Google, based on the Gemma 3 architecture upgraded with multimodal and long context processing capabilities. It supports a wide range of data types, including text and images, and is capable of handling very long contexts (up to 128K) in generating...
7mos ago
049K
FunctionGemma - 谷歌开源专为函数调用优化的轻量级AI模型

FunctionGemma - Google open source lightweight AI model optimized for function calls

FunctionGemma is a lightweight AI model optimized for function calls launched by Google, developed based on the Gemma 3 base model with 270 million parameters, which can convert natural language into executable API instructions in real time on cell phones, browsers and other devices. The core feature is support for local off...
7mos ago
048.8K
SHARP - 苹果开源的单目视图3D场景合成技术

SHARP - Apple's open source monocular view 3D scene synthesis technology

SHARP (Sharp Monocular View Synthesis in Less Than a Second) is Apple's open source monocular view synthesis technology. It can quickly generate a realistic 3D representation of a scene from a single photo in less than a second...
7mos ago
053K
TRELLIS.2 - 微软开源的大型3D生成模型

TRELLIS.2 - Microsoft Open Source Large Scale 3D Generative Modeling

TRELLIS.2 is a Microsoft open source large-scale 3D generative model , with 4 billion parameters , focusing on high-fidelity image to 3D generation . Using the innovative "O-Voxel" sparse voxel structure , can efficiently handle complex topology and sharp features , to generate high-quality 3D information with full PBR material ...
7mos ago
060.6K
Step-GUI - 阶跃星辰开源的AI Agent系列模型

Step-GUI - Step-Star Open Source AI Agent Series Models

Step-GUI is Step-Star's open source AI Agent series of models, including the cloud model Step-GUI, the first MCP protocol for GUI Agents, and the industry's first open source end-side model Step-GUI Edge to support cell phone deployment.Specialized...
7mos ago
059.4K
A2UI - 谷歌开源的Agent驱动型用户交互界面声明式协议

A2UI - Google's open source declarative protocol for Agent-driven user interaction interfaces

A2UI (Agent-to-User Interface) is Google's open-source Agent-driven interface protocol that solves the problem of generating complex interactive interfaces for AI agents. Through a declarative JSON format that allows AI agents to describe the structure of the user interface , client applications ...
7mos ago
064.3K
SAM Audio - Meta推出的开源多模态音频分割模型

SAM Audio - Open Source Multimodal Audio Segmentation Model from Meta

SAM Audio is an open source multimodal audio segmentation model introduced by Meta to accurately separate arbitrary target sounds from complex audio mixes. By combining textual, visual, and temporal dimensional cues, it enables flexible and efficient audio processing for tasks such as audio editing, denoising, sound extraction, and...
7mos ago
051.6K