[TMI 2024] Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction

"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)

[CVPR 2024] The dataset, code, and model for our paper "Shadow Generation for Composite Image Using Diffusion Model", CVPR, 2024.

Official implementation of the Fourier-constrained diffusion bridges (FDB) model for MRI reconstruction

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

C++ implementation of several image contrast enhancement techniques for clinical and normal images.

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

code of the paper "High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF"

C++ Implementation of PyTorch Tutorials for Everyone

Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Tools for X-ray CT reconstruction

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

Learning Signed Distance Field for Multi-view Surface Reconstruction

PL-SLAM: The method is implemented in《PL-SLAM:Real-time Monocular Visual SLAM with Points and Lines》

Plenoxels: Radiance Fields without Neural Networks, Code release WIP

[ICCV21] Self-Calibrating Neural Radiance Fields

Unsupervised Learning for Image Registration

Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate