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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
OpenMMLab Computer Vision
MMCV is a python library for CV research and supports many research projects such as object detection, segmentation, pose estimation, action ...
computer-vision object-detection 3d 3d-object-detection
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
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
Torch Points3D
Pytorch framework for doing deep learning on point clouds.
point-cloud-generation point-cloud pytorch 3d
3D Photography using Context-aware Layered Depth Inpainting
A multi-layer representation for novel view synthesis that contains hallucinated color and depth structures in regions occluded in the original view.
3d image-generation inpainting design
AI for 3D Generative Design
Making the design process faster and more efficient by generating 3D objects from natural language descriptions.
natural-language-processing 3d variational-autoencoders computer-vision
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