High Resolution Depth Maps for Stable Diffusion WebUI
-
Updated
Aug 18, 2024 - Python
High Resolution Depth Maps for Stable Diffusion WebUI
Perform a visibility graph analysis quickly and easily. Visibility calculation done in C.
A straightforward Siamese network designed for block matching to generate a disparity map
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
Use an image segmentation to produce a RGB+D image (image + depthmap). Or use the GUI to view already-made RGB+D images in 3D, there's even an anaglyph mode to perceive depth with red+cyan glasses. Animate the 3D view and export to a series of images to build later an animated image. This nice GUI uses QT, OpenCV and OpenGL
Minecraft as a real-world hologram. No glasses required.
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
An example script that uses the objc_util module available in the Pythonista app to extract depth data from Portrait photos.
Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Quick tool to visualize a depthmap pixel value
Disparity and depth maps GUI with QT and OpenCV with support for classic image files and MPO stereo pairs
Add a description, image, and links to the depthmap topic page so that developers can more easily learn about it.
To associate your repository with the depthmap topic, visit your repo's landing page and select "manage topics."