Create 3D images from person photos
Paper for the LLM model known as ThorV2 by Floworks
Create realistic 3D portraits from selfie videos
Turn casual videos into 3D portrait models
Turn casual selfie videos into 3D portraits
Generate 3D anaglyphs by inserting people into stereoscopic backgrounds
PHOTOREALISTIC HUMAN RECONSTRUCTION w/ CROSS-SCALE DIFF
Create personalized 3D avatars from images
Job Description Interview Trainer
for project use only
Turn selfie videos into 3D portraits
Generate 3D human model from image
Generate 3D portraits from selfie videos
Object Segmentation is a powerful tool designed to accurately isolate and segregate specific objects or regions of interest within an image or scene. It is particularly useful for creating 3D avatars by converting 2D images into 3D models. This technology leverages advanced algorithms to detect and separate objects from their backgrounds, enabling precise manipulation and transformation of the isolated elements.
• High Precision Segmentation: Offers accurate separation of objects from complex backgrounds. • 3D Model Generation: Converts isolated objects into 3D avatars for various applications. • User-Friendly Interface: Streamlined process for uploading images and generating results. • Customizable Outputs: Allows adjustments to refinement and quality for desired results. • Integration Capabilities: Seamlessly integrates with other tools for further editing.
What is the purpose of object segmentation?
Object segmentation is used to isolate specific parts of an image, enabling tasks like 3D modeling, background removal, and precise editing.
Can I use Object Segmentation for creating 3D avatars?
Yes, Object Segmentation is ideal for creating 3D avatars by converting 2D images into 3D models with high accuracy.
What formats are supported for input and output?
The tool typically supports common image formats like JPG, PNG, and TIFF for input, and 3D model formats like OBJ or STL for output.