Popular GitHub Repositories for Reconstruction

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

Awesome GAN for Medical Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Segment-Anything + 3D. Let's lift anything to 3D.

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

[ECCV 2024] Single Image to 3D Textured Mesh in 10 seconds with Convolutional Reconstruction Model.

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

? [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

[ECCV 2024] SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

A curated list of awesome Single-view 3D Object Reconstruction papers & resources

An official implementation of FlexiDreamer: Single Image-to-3D Generation with FlexiCubes.

Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)

Deep Image Compression using Decoder Side Information (ECCV 2020)

Combining Patches and Point Convolutions for Detailed Surface Reconstruction

Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)

The official GitHub repository for the ICRA'24 paper Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors.

Code for our paper "Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection" and its extension.

This is a repository is an assistant to run PointNeRF. We set up a stable environment for point-nerf for ubuntu 20.04, and modified point-nerf code to fix some bug during running. We also share a pipeline to generate your own dataset using BlenderNeRF