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The Habitat-Matterport 3D Research Dataset - the largest-ever dataset of 3D indoor spaces.
Habitat-Matterport 3D Dataset (HM3D) The Habitat-Matterport 3D Research Dataset is the largest-ever dataset of 3D indoor spaces. It consists of 1,000
Jaxtorch (a jax nn library)
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Investigating automatic navigation towards standard US views integrating MARL with the virtual US environment developed in CT2US simulation
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A High-Performance Distributed Library for Large-Scale Bundle Adjustment
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PyTorch - Python + Nim
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This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
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Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
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A novel framework to automatically learn high-quality scanning of non-planar, complex anisotropic appearance.
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Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
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FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows
FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.
Spectral Tensor Train Parameterization of Deep Learning Layers
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CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Implementation of CoSMA: Convolutional Semi-Regular Mesh Autoencoder arXiv p
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021)
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Easy to use and customizable SOTA Semantic Segmentation models with abundant datasets in PyTorch
Semantic Segmentation Easy to use and customizable SOTA Semantic Segmentation models with abundant datasets in PyTorch Features Applicable to followin
Papers about explainability of GNNs
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A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A 3D multi-modal medical image segmentation library in PyTorch We strongly believe in open and reproducible deep learning research. Our goal is to imp
The Official PyTorch Implementation of DiscoBox.
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision Paper | Project page | Demo (Youtube) | Demo (Bilib
Self-Learning - Books Papers, Courses & more I have to learn soon
Self-Learning This repository is intended to be used for personal use, all rights reserved to respective owners, please cite original authors and ask