Popular GitHub Repositories for Heritage Recovery

Collection of popular and reproducible image denoising works.

Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

?? Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes

State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery

GEDKeeper - program for work with personal genealogical database

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

Official PyTorch Implementation for the "Model Tree Heritage Recovery" paper.

Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos (WACV 2023)

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

Cloud-Native PostgreSQL WAL receiver. Stream, compress, encrypt, upload, retain and monitor your WAL archive.

Official Repository for "Diffusion HPC: Generate Synthetic Data for Human Mesh Recovery in Challenging Domains" (3DV 2024 Spotlight)

Repository for Gravity Field Modeling and Recovery using Machine Learning Methods

Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.

? Kubernetes coverage for fault awareness and recovery, works for any LLMOps, MLOps, AI workloads.