A curated list of awesome indoor reconstruction, inspired by awesome-computer-vision.
This repo is designed for building up an indoor reconstruction pipeline. Currently, this repo is mainly about visual reconstruction methods and requires calibrated images (e.g., with intrinsic and extrinsic.). A curated list of awesome computer vision resources, inspired by [awesome computer vision].
- Matterport3D, Chang, Angel and Dai, Angela and Funkhouser, Thomas and Halber, Maciej and Niessner, Matthias and Savva, Manolis and Song, Shuran and Zeng, Andy and Zhang, Yinda, 3DV 2017 | Website | github | bibtex
- ETH3D, T. Schöps, J. L. Schönberger, S. Galliani, T. Sattler, K. Schindler, M. Pollefeys, A. Geiger, CVPR 2017 | Website | github | bibtex
- Indoor Depth Completion with Boundary Consistency and Self-Attention, Huang, Yu-Kai and Wu, Tsung-Han and Liu, Yueh-Cheng and Hsu, Winston H, ICCVW (RLQ) 2019. | github | bibtex
- MINE: Continuous-Depth MPI with Neural Radiance Fields, Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee, ICCV 2021 | Website | github | bibtex
- NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors, Wang, Jiepeng and Wang, Peng and Long, Xiaoxiao and Theobalt, Christian and Komura, Taku and Liu, Lingjie and Wang, Wenping, ECCV 2022 | Website | github | bibtex -Neural RGB-D Surface Reconstruction, Dejan Azinović, Ricardo Martin-Brualla, Dan B Goldman, Matthias Nießner, Justus Thies, CVPR 2022 | | Website | bibtex
- NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video, Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou and Hujun Bao, CVPR 2021 | Website | bibtex