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Search results for jupyter notebook 3d reconstruction

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23 search results found

Nerf_pl ⭐ 2,291

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

Objectron ⭐ 1,958

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following cat

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

Taichi_3d_gaussian_splatting ⭐ 411

An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.

Ransac Flow ⭐ 352

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

End-to-end SFM framework based on GTSAM

Casmvsnet_pl ⭐ 246

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

Centersnap ⭐ 243

Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

Doppelgangers ⭐ 125

Doppelgangers: Learning to Disambiguate Images of Similar Structures

Pix2face ⭐ 100

3D human face estimation and rendering from a single image

Portrait_fcn_and_3d_reconstruction ⭐ 60

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

Macarons ⭐ 60

(CVPR 2023) Official code of MACARONS: Mapping And Coverage Anticipation with RGB ONline Self-supervision. Also contains an updated and improved implementation of our previous work SCONE (NeurIPS 2022), on which this work is built.

Smplify X Partial ⭐ 57

Towards Robust 3D Body Mesh Inference of Partially-observed Humans: semester project at ETH Zurich

Our method takes as input a collection of images (100 in our experiments) with known cameras, and outputs the volumetric density and normals, materials (BRDFs), and far-field illumination (environment map) of the scene.

Code for Ditto: Building Digital Twins of Articulated Objects from Interaction

Differentiable Shadow Mapping ⭐ 36

Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)

Mvsnet_pl ⭐ 28

MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning

Incremental Nerf Slam ⭐ 15

Incremental online learning-based localization and mapping using implicit representation formulated by neural radiance fields (NeRF)

Plankhyundong ⭐ 14

현동이의 플랭크 자세를 3D 피규어로 만들어 박제시키기 #NeRF

Fsrn Cvpr2020 ⭐ 14

This codebase implements the system described in the paper: Dynamic Fluid Surface Reconstruction Using Deep Neural Network

ICEpy4D is a multi-purpose Python package for 4D Image-based Continuos monitoring of glaciers' Evolution with deep learning SfM and low-cost stereo-cameras

Componet ⭐ 10

CompoNET: geometric deep learning approach in architecture. From a single-image generates a building with all its components

C++ library for Regularized 2D and 3D Tomography Reconstructions.

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