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buildingfusion

This is the official code repository for BuildingFusion, a semantic-aware structural building-scale reconstruction system, which allows collaborative building-scale dense reconstruction, with online semantic and structural understanding. It is able to handle large scale scenes (~1000m^2).

ccdc

crossnetpp

deepcad

DeepCAD: Deep self-supervised learning for calcium imaging denoising

flashfusion

gifnet

Source code and dataset for paper 'Group interaction field for learning and explaining pedestrian anticipation'

gigamvs

This repository is used for discussing issues regarding the **GigaMVS** dataset and benchmark. Please visit the following website for more details: http://gigamvs.com/

gigavision_evaluation

idfusion

ins-conv

INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation (CVPR 2022)

mild

open source code for loop closure detection, binary feature based.

occuseg

This is the official code repository for OccuSeg, a state-of-the-art method for accurate joint 3D semantic and instance segmentation.

omniseg3d

Segment Everything All at Once

panda-toolkit

realgraph

specat

Official Implementation of the CVPR'24 paper: SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction

stpc

SpatioTemporal Photonic Computing

surfacenet

2017 ICCV, SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

surfacenetplus

This is the official code repository for SurfaceNet+, a volumetric method to handle the ‘incompleteness’ and the ‘inaccuracy’ problems induced by a very sparse MVS setup.

surrf

The official implementation for the paper: SurRF: Unsupervised Multi-view Stereopsis by Learning Surface Radiance Field

texturefusion

This is official repository for Project for Real-Time Globally Consistent Dense 3D Reconstruction With Online Texturing.

thu-luvision.github.io

xscale-nvs

The official implementation of the CVPR'24 paper titled "XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold".