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Kristijan Bartol's Projects

learnable-triangulation-pytorch icon learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

linear-3d-humans icon linear-3d-humans

"Linear Regression vs. Deep Learning". The source code for a simple but effective baseline method for human body measurement estimation using only height and weight information about the person.

mmhuman3d icon mmhuman3d

OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

models icon models

Models and examples built with TensorFlow

psi-release icon psi-release

official implementation of CVPR'20 oral paper: Generating 3D People in Scenes without People.: https://ps.is.tuebingen.mpg.de/publications/smpl-x-conditional-vae-prox-scene-constraints

psmnet icon psmnet

Pyramid Stereo Matching Network (CVPR2018)

pyreinforcementtutorial icon pyreinforcementtutorial

[WIP] Beginner level Python tutorial as a preparation and tutorial for reinforcement learning on OpenAI Gym.

scheduler_genalg icon scheduler_genalg

Scheduling T tests on M machines given R global resources some tests are using. Genetic algorithm.

sfmlearner icon sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

shorttermcrudeoilpriceforecast icon shorttermcrudeoilpriceforecast

Using XGBoost Python library to create a model for short-term forecasting of crude oil prices based on other important prices trends (gold, silver, crude oil, ...)

smplify-x icon smplify-x

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

star icon star

ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor

tf-pose-estimation icon tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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