Create a 3D model from an image using depth mapping
Generate 3D mesh from a single image
Create a dynamic 3D scene with moving lights and shapes
Generate 3D recursive polygons and math functions
Gradio demo of CharacterGen (SIGGRAPH 2024)
Explore a 3D map of Minnesota
Create 3D recursive polygons and mathematical functions in a virtual environment
Create recursive 3D polygons and mathematical surfaces
Explore and interact with 3D simulated terrains
Create 3D models from images
Create a dynamic 3D scene with random shapes and lights
Create 3D recursive polygons and math functions
Create a 3D model from an image in ~10 seconds!
Depth Pro In Meters is a cutting-edge tool designed for 3D modeling and depth mapping. It allows users to create detailed 3D models from 2D images by estimating depth information. This app is particularly useful for professionals and hobbyists in fields like architecture, game design, and visual effects. With Depth Pro In Meters, you can generate precise depth maps and convert them into actionable 3D models, all measured in meters for accuracy.
• Advanced Depth Estimation: Accurately measures depth in meters from 2D images.
• Cross-Platform Compatibility: Works seamlessly on multiple operating systems.
• Customizable Settings: Adjust parameters like unit conversion and scaling factors.
• Real-Time Preview: Visualize depth maps and 3D models before final export.
• Export Options: Supports various formats for 3D models and depth maps.
• High-Resolution Output: Ensures detailed and crisp results for professional use.
What file formats does Depth Pro In Meters support?
Depth Pro In Meters supports common image formats like JPG, PNG, and BMP for input, and OBJ, STL, and FBX for 3D model exports.
How accurate is the depth estimation?
Accuracy depends on the image quality and complexity. Well-lit, high-resolution images with clear subject separation yield the best results.
Can I use Depth Pro In Meters for underwater depth measurements?
Yes, Depth Pro In Meters is suitable for underwater applications, but ensure the input images are clear and properly lit for optimal results.