Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
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Updated
Aug 26, 2019 - Python
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
single and stereo calibration, disparity calculation.
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
🌊 Image to → 2.5D Parallax Effect Video. High quality, user first.
A WebVR volumetric video renderer that uses color-depth based videos hosted on Vimeo.
Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html
Implementation of LIBELAS in cuda.
A dual Marching Cubes method using cuboids, based on greedy meshing. Suitable for use with a uniform grid of data derived from multiple depth maps.
Improving Visual Relation Detection using Depth Maps (ICPR 2020)
OpenGL Based Python Library for 3D visualization of Point Clouds & Depth Maps
Generates a depth map from a focal stack of images using OpenCV 📷
Extracts the depth map and unaltered image from a Huawei "bokeh" mode picture
Code and data accompanying our work on spatio-thermal depth correction of RGB-D sensors based on Gaussian Process Regression in real-time.
A not-so-trivial example showing how (not) to generate a hi-Z buffer in Unity
Rankings include: Depth Anything DPT GBDMF GenPercept LeReS LightedDepth LFVRT Marigold Metric3D MiDaS NeWCRFs PatchFusion ZoeDepth
GAN for Depth Maps object removal
Convert RGB images of Visual-Genome dataset to Depth Maps.
Uses the brightness of an LED to estimate the depth of an object
Deep learning based pseudo stereo image generation demo using Intel(r) Distribution of OpenVINO(tm) toolkit
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