Popular GitHub Repositories for Volumetric Ren

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

3D U-Net model for volumetric semantic segmentation written in pytorch

iR Engine - Bringing us together on the open social spatial web. ? ? ? ?️ ??‍?

INSTA - Instant Volumetric Head Avatars [CVPR2023]

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

[CVPR 2023] Code for "Learning Neural Volumetric Representations of Dynamic Humans in Minutes"

[NeurIPS 2023] PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Volumetric MRI brain tumor segmentation using autoencoder regularization

Foundation 3D ViT model for volumetric head CT

An JSBSim environment for reinforcement learning, original from https://github.com/Gor-Ren/gym-jsbsim

:hugs: AeroPath: An airway segmentation benchmark dataset with challenging pathology

3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.

Easy Volumetric Segmentation with Deep Learning