GigaWorld-0 - GigaVision open source world modeling framework

What is GigaWorld-0

GigaWorld-0 is the open source world modeling framework of domestic Embodied Intelligence startup GigaAI, which is mainly used to solve the data bottleneck problem in the field of Embodied AI. It is mainly used to solve the data bottleneck problem in the field of Embodied AI. It can efficiently generate high-quality, diversified and physically realistic training data to promote the development of Embodied AI. Two core components are included: GigaWorld-0-Video, which generates richly textured and temporally coherent embodied interactive video sequences through large-scale video generation techniques with fine control over the environment appearance, camera viewpoints, and motion semantics; and GigaWorld-0-3D, which ensures geometric consistency and physical realism of the data through a combination of 3D modeling, Gaussian point drawing reconstruction, physical microsystems identification, and motion planning. geometric consistency and physical realism of the data.

Features of GigaWorld-0

• Efficient data generationGigaWorld-0's large-scale video generation technology enables GigaWorld-0 to generate diverse, textured, and temporally coherent video sequences of embodied interactions with fine-grained control over environment appearance, camera perspective, and action semantics to meet different training needs.
• physical realityThe combination of 3D modeling and physical microsystem identification ensures that the generated data is highly realistic in terms of geometry and physical behavior, avoiding anomalies such as mold penetration or floating.
• Efficient training frameworkGigaTrain: Adopting the GigaTrain framework, it utilizes FP8 accuracy and sparse attention techniques to significantly reduce memory and computation requirements, and supports multi-GPU/multi-node distributed training to achieve efficient, large-scale model training.
• Excellent performance: In multiple benchmarks, GigaWorld-0 performs well, generating high-quality data even with minimal activation parameters and significantly improving the model's generalization ability and success rate in real robotics tasks.
• Open Source and Scalability: GigaWorld-0 is licensed under an open source license, with code available on GitHub and pre-trained models available on Hugging Face, making it easy for researchers and developers to extend and apply.

Core Benefits of GigaWorld-0

• High data generation efficiency: For the first time in the world, the training data of 90% is generated from the world model, significantly reducing the dependence on real data.
• Generalization Capability Enhancement: generalization dimensions in new textures, new viewpoints, and new object positions to improve the performance of the VLA model by nearly 300% and enhance the robot's adaptability in unknown environments.
• Low cost and high efficiency: Adopting FP8 precision end-to-end training and sparse attention mechanism, it significantly reduces the training cost and video memory occupation, and supports large-scale model training.

What is the official website of GigaWorld-0?

• Project website:: https://giga-world-0.github.io/
• Github repository:: https://github.com/open-gigaai/giga-world-0
• HuggingFace Model Library:: https://huggingface.co/open-gigaai
• arXiv Technical Paper:: https://arxiv.org/pdf/2511.19861

Who is GigaWorld-0 for?

• Robotics researchers: GigaWorld-0 provides high-quality training data to help researchers efficiently train robots in simulated environments to improve their real-world task execution and generalization capabilities, making it suitable for embodied AI research that requires large amounts of data support.
• Artificial Intelligence Developers: For developers developing visual-linguistic-action (VLA) models, GigaWorld-0 provides a powerful data generation and training framework that significantly improves model performance and efficiency for developers who need to build efficient, scalable AI systems.
• Universities and research institutions: GigaWorld-0's open-source nature and efficient training framework make it an ideal tool for teaching and researching embodied AI at universities and research institutions, helping students and researchers get up to speed quickly and conduct cutting-edge research.
• Industrial Automation EngineerIn industrial automation, GigaWorld-0 can be used to train robots to perform complex tasks such as object grasping and assembly, helping engineers to optimize the robot's operation process and improve productivity and quality.
• AI startups and startup teams: For startups and startup teams with limited resources, GigaWorld-0 provides a low-cost, efficient data generation and training solution that facilitates rapid product iteration and proof of technical concept.