A curated list of awesome resources regarding the fusion of rigid surface reconstruction from depth maps on-the-fly (online).
This list focues ONLY on works that produce dense surface reconstruction, not only camera tracking (SLAM). Also, mainly methods that work in real-time and in online, on-the-fly use-case are included here, with some notable exceptions in Offline section of the Papers.
- An Overview on Visual SLAM: From Tradition to Semantic. JRS'2022
- High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review. CVM'2022
- 3D indoor scene modeling from RGB-D data: a survey. CVM'2015
- HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits. TOG'2022
- SurfelMeshing: Online Surfel-Based Mesh Reconstruction. PAMI'2019
- PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction. ECCV'2018
- Real-time High-accuracy 3D Reconstruction with Consumer RGB-D Cameras. TOG'2018
- BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration. TOG'2017
- InfiniTAM. ECCV'2016
- ElasticFusion: Dense SLAM Without A Pose Graph. RSS'2015
- Real-time 3D Reconstruction in Dynamic Scenes using Point-based Fusion. 3DV'2013
- Real-time 3D Reconstruction at Scale using Voxel Hashing. TOG'2013
- KinectFusion: Real-time dense surface mapping and tracking. ISMAR'2011
- BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion. CVPR'2022
- DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors. CVPR'2021
- NeuralFusion: Online Depth Fusion in Latent Space. CVPR'2021
- RoutedFusion: Learning Real-time Depth Map Fusion. CVPR'2020
- DFusion: Denoised TSDF Fusion of Multiple Depth Maps with Sensor Pose Noises. Sensors'2022
- OctNetFusion: Learning Depth Fusion from Data. 3DV'2017
- DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor. CVPR'2018
- Fusion4D: Real-time Performance Capture of Challenging Scenes. TOG'2016
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