Blender MCP is a plugin that connects Blender with Claude AI via the Model Context Protocol (MCP), enabling AI to directly interact with and control Blender. This integration significantly improves 3D modeling efficiency and is suitable for designers and developers.

PokemonGym is a server-client architecture platform designed for AI agents to be evaluated and trained in the Pokemon Red game. It provides game states via FastAPI, supports human-AI agent interaction, and helps researchers and developers test and improve AI solutions.

LHM (Large-scale Animatable Human Reconstruction Model) utilizes a multimodal transformer architecture for high-fidelity 3D head reconstruction, supporting the generation of animatable 3D human characters from a single image. The model can accurately preserve clothing geometry and texture, and is particularly excellent at restoring facial identity and details, making it suitable for application scenarios with high requirements for 3D reconstruction accuracy.

Cube is a powerful 3D intelligent generation model designed to help developers create various 3D assets and scenes on the Roblox platform. The model features 3D object generation, character animation rigging, and procedural script generation. It significantly enhances creator productivity, sparks more creativity, and helps users build rich 3D experiences faster. The current version is open-source, aiming to share with the research community to advance 3D intelligence. Suitable for developers and creators of all sizes, supporting experimentation, innovation, and promoting responsible use.

WHAM (World and Human Action Model) is a generative model developed by Microsoft Research, specifically designed for generating game scenes and player behaviors. Trained on data from Ninja Theory's 'Bleeding Edge' game, it can generate coherent and diverse game visuals and controller actions. WHAM's primary advantage lies in its ability to capture the 3D structure of game environments and the temporal sequences of player actions, providing a powerful tool for game design and creative exploration. The model primarily targets academic research and the game development field, helping developers rapidly iterate on game designs.

DiffSplat is an innovative 3D generation technology that quickly creates 3D Gaussian point clouds from text prompts and single-view images. This technology leverages a large-scale pre-trained text-to-image diffusion model to efficiently generate 3D content. It addresses the limitations of traditional 3D generation methods concerning dataset size and the ineffective use of 2D pre-trained models, while maintaining 3D consistency. Key advantages of DiffSplat include efficient generation speeds (completed in 1 to 2 seconds), high-quality 3D output, and support for various input conditions. The model has broad prospects in academic research and industrial applications, particularly in scenarios requiring the rapid generation of high-quality 3D models.

GameFactory is an innovative general-purpose world model that focuses on learning from a limited amount of Minecraft gameplay video data and leverages prior knowledge from a pre-trained video diffusion model to generate new game content. Its core advantage lies in its open-domain generative ability, allowing it to create diverse game scenes and interactive experiences based on user-input text prompts and operational commands. It not only demonstrates strong scene generation capabilities but also achieves high-quality interactive video generation through a multi-stage training strategy and plug-in action control modules. This technology holds great promise in fields such as game development, virtual reality, and creative content generation. The pricing and commercial positioning are currently undefined.

ComfyUI-Hunyuan3DWrapper is a plugin based on ComfyUI that encapsulates the Hunyuan3D-2 model for efficient 3D image generation and texture processing. By streamlining the usage process of the Hunyuan3D-2 model, this tool allows users to quickly create high-quality 3D models and textures within the ComfyUI environment. It supports custom configurations and extensions, making it ideal for users engaged in efficient 3D content creation.

Hunyuan3D 2.0 is an advanced large-scale 3D synthesis system developed by Tencent, focusing on generating high-resolution textured 3D assets. The system comprises two core components: the large-scale shape generation model Hunyuan3D-DiT and the large-scale texture synthesis model Hunyuan3D-Paint. By decoupling the challenges of shape and texture generation, it provides users with a flexible platform for 3D asset creation. The system surpasses existing open-source and closed-source models in geometric details, conditional alignment, texture quality, and more, showcasing high practicality and innovation. Currently, the inference code and pre-trained models of this model are open-sourced, allowing users to quickly experience it through the official website or Hugging Face space.

Blender MCP is a plugin that connects Blender with Claude AI via the Model Context Protocol (MCP), enabling AI to directly interact with and control Blender. This integration significantly improves 3D modeling efficiency and is suitable for designers and developers.

PokemonGym is a server-client architecture platform designed for AI agents to be evaluated and trained in the Pokemon Red game. It provides game states via FastAPI, supports human-AI agent interaction, and helps researchers and developers test and improve AI solutions.

Vibe Draw is a powerful AI-driven platform that quickly transforms rough sketches into professional-quality 3D models. Its intuitive tools make it easy for designers and developers alike, especially those who want to quickly realize their creative visions. This product can optimize design workflows and is suitable for games, 3D printing, and AR/VR fields. Vibe Draw is suitable for all types of creators, providing a simple and efficient way of 3D design.

LHM (Large-scale Animatable Human Reconstruction Model) utilizes a multimodal transformer architecture for high-fidelity 3D head reconstruction, supporting the generation of animatable 3D human characters from a single image. The model can accurately preserve clothing geometry and texture, and is particularly excellent at restoring facial identity and details, making it suitable for application scenarios with high requirements for 3D reconstruction accuracy.

Cube is a powerful 3D intelligent generation model designed to help developers create various 3D assets and scenes on the Roblox platform. The model features 3D object generation, character animation rigging, and procedural script generation. It significantly enhances creator productivity, sparks more creativity, and helps users build rich 3D experiences faster. The current version is open-source, aiming to share with the research community to advance 3D intelligence. Suitable for developers and creators of all sizes, supporting experimentation, innovation, and promoting responsible use.

GaussianCity is a framework focused on efficiently generating boundless 3D cities, based on 3D Gaussian rendering technology. This technology, through compact 3D scene representation and a spatially aware Gaussian attribute decoder, solves the memory and computational bottlenecks encountered by traditional methods when generating large-scale city scenes. Its main advantage is the ability to quickly generate large-scale 3D cities in a single forward pass, significantly outperforming existing technologies. This product was developed by the S-Lab team at Nanyang Technological University, with the related paper published in CVPR 2025. The code and models have been open-sourced and are suitable for researchers and developers who need to efficiently generate 3D city environments.

Funes is an innovative online museum project that transforms global human architecture into 3D models through crowdsourced photogrammetry, aiming to create a free, accessible, and vast 3D database. Named after the 'Funes, the Memorious' from Argentinian writer Jorge Luis Borges, the project symbolizes the eternal preservation of humanity's material memory. Funes is not only a technological showcase but also a cultural heritage project, protecting the architectural heritage of human civilization through digital means.

Muse is a generative AI model developed by the Microsoft research team in collaboration with Xbox Games Studios, designed to support game ideation. Trained on a large-scale dataset of human gameplay, it can generate coherent game visual and action sequences. This technology showcases the potential of AI in game design, providing new creative approaches and experiences for future game development.

WHAM (World and Human Action Model) is a generative model developed by Microsoft Research, specifically designed for generating game scenes and player behaviors. Trained on data from Ninja Theory's 'Bleeding Edge' game, it can generate coherent and diverse game visuals and controller actions. WHAM's primary advantage lies in its ability to capture the 3D structure of game environments and the temporal sequences of player actions, providing a powerful tool for game design and creative exploration. The model primarily targets academic research and the game development field, helping developers rapidly iterate on game designs.