Popular GitHub Repositories for Volumetric

: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

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"

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

[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."

Volumetric MRI brain tumor segmentation using autoencoder regularization

Foundation 3D ViT model for volumetric head CT

: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

Patch-based 3D Cycle-GAN for volumetric medical image synthesis

Bachelor Thesis: Real-time Neural Radiance Caching in Heterogeneous Participating Media