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de_resnet_unet_hyb

Depth estimation from RGB images using fully convolutional neural networks.

depth_estimation_with_densenet-unet_hybrid

Depth estimation from RGB images using a DenseNet based deep model.

depth_segmentation

A collection of segmentation methods working on depth images

depthprediction-coreml

The example of running Depth Prediction using Core ML

depthstreamcompression

Depth Stream Compression using RVL and Temporal RVL

derender3d

CVPR 2022 - derender3d: A method for de-rendering a 3D object from a single image into shape, material, and lighting, that is trained in a weakly-supervised fashion relying only on rough shape estimates.

desktop-companion-app-developer-tools

Desktop Companion App Developer Tools

detco

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detectron2-1

detectron2 windows build

detr

End-to-End Object Detection with Transformers

detr3d

deviant

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

dgcnn

dh3d

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

dip

Project page of the paper "Distinctive 3D local deep descriptors" accepted in IEEE International Conference on Pattern Recognition 2020.

dirtypixels

disco-pytorch

Differentiable Scan Context with Orientation

distdepth

Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)

draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

dracopy

Python wrapper for Google's Draco mesh compression library

dracosampleforhololens

dracosampleforunity

dracounity

Draco 3D Data Compression Unity Package

dracounitydemo

Unity Project that demonstrates use of Draco mesh decoding

dronepose

Code for DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss (ECCVW 2020)

dsr

Official Repo for ICCV2021 Paper: Learning to Regress Bodies from Images using Differentiable Semantic Rendering

dynamic-video-depth

Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".

earthenterprise

Google Earth Enterprise - Open Source

efficientformer