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Learning Representations via Graph-structured Networks
Introduce a series of effective graph-structured networks, including non-local neural networks, spatial generalized propagation networks, etc.
graph-neural-networks graph-structured-networks non-local-neural-networks spatial-generalized-propagation-networks
3D Detection and Domain Adaptation
1st Place Solution for Waymo Open Dataset Challenge
object-detection 3d domain-adaptation waymo
PyTorch3D
FAIR's library of reusable components for deep learning with 3D data.
3d heterogeneous-batching batching differentiable-rendering
PIFuHD: High-Resolution 3D Human Digitization
This repository contains a pytorch implementation of "Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization".
human-digitization 3d pifudh cvpr-2020
AutoSweep: Recovering 3D Editable Objects from a Single Photo
Fully automatic framework for extracting editable 3D objects directly from a single photograph.
3d autosweep object-generation computer-vision
Epipolar Transformers
Differentiable "epipolar transformer", which enables the 2D detector to leverage 3D-aware features to improve 2D pose estimation.
pose-estimation 3d epipoplar transformers
Shape and Viewpoint without Keypoints
Recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-view, camera ...
3d unsupervised-learning pascal-3d computer-vision
Unsupervised Learning of Probably Symmetric Deformable 3D Objects
A method to learn 3D deformable object categories from raw single-view images, without external supervision.
3d 3d-objects 3d-reconstruction unsupervised-learning
MediaPipe
Simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
object-detection face-detection hand-tracking 3d
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