vggt (alpha test)
Scalable and Versatile 3D Generation from images
Scalable and Versatile 3D Generation from images
Generate 3D models from images efficiently
Generate 3D models from images
Image to 3D with DPT + 3D Point Cloud
Image to Compositional 3D Scene Generation
Generate depth maps from images using multiple models
High-performance Image-to-3D generation model
Scalable and Versatile 3D Generation from images
Generate 3D models from images
Generate a 3D model from an image
Generate 3D models from images
vggt is an alpha-stage application designed to generate 3D models from images or video inputs. It leverages advanced AI technology to create 3D reconstructions, allowing users to transform 2D visual data into detailed 3D models. vggt is currently in testing and is aimed at users looking for an innovative way to work with 3D content creation.
• 3D Reconstruction: Generate 3D models from 2D images or video clips.
• AI-Powered Processing: Utilizes cutting-edge AI algorithms to analyze and reconstruct 3D models.
• User-Friendly Interface: Designed to be accessible even for users without extensive 3D modeling experience.
• Customizable Outputs: Adjust settings to refine the quality and details of the generated 3D models.
• Multi-Format Support: Export models in common 3D file formats for use in various applications.
What formats does vggt support for input and output?
vggt supports standard image formats like PNG, JPG, and BMP for input. Output options include OBJ, STL, and other common 3D file formats.
Can I customize the 3D model before exporting?
Yes, vggt allows users to adjust settings such as resolution, texture quality, and other details to refine the final output.
What is the difference between using an image vs. a video for 3D reconstruction?
Using a video provides more data for the AI to analyze, often resulting in more detailed and accurate 3D models compared to a single image.