Generate 3D models from images
3D model reconstruction from video
Convert 2D images into 3D models
Generate 3D models from text descriptions
@image @rAgent @web @text @tts1 @tts2
Transform sketches into detailed images using GAN
Generate 3D images from textual prompts
Text to 3D using Flux schnell and Trellis
PPSurf converting point clouds to meshes
Convert sketches into TikZ code
Image to 3D with DPT + 3D Point Cloud
Generate 3D models from images
P3D_FusionNet_backend is a backend tool designed to generate 3D models from 2D sketches or images. It is part of the larger P3D_FusionNet project, which focuses on converting 2D representations into 3D models using advanced AI-based techniques. The backend is optimized for processing and converting 2D inputs into 3D outputs efficiently.
• 3D Model Generation: Converts 2D sketches or images into detailed 3D models
• AI-Powered Conversion: Utilizes advanced AI algorithms for accurate and realistic model generation
• Support for Multiple Formats: Accepts various input formats (e.g., PNG, JPEG) and outputs 3D models in formats like OBJ or STL
• Scalable Processing: Designed to handle both simple and complex 2D inputs
• Customizable Output: Allows users to adjust settings for model detail and texture
What input formats are supported by P3D_FusionNet_backend?
P3D_FusionNet_backend supports common image formats such as PNG, JPEG, and BMP.
Can I customize the output 3D model?
Yes, you can adjust settings like resolution, texture, and detail level to customize the output 3D model.
Is P3D_FusionNet_backend suitable for large-scale projects?
Yes, the backend is designed to be scalable and can handle both small and large-scale projects effectively.