DMN-SLAM: Multi-MLPs Neural Implicit Representation SLAM for Dynamic Environments
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3540585
Abstract: Addressing the limitations of traditional V-SLAM in large-scale and dynamic environments, this paper proposes a multi-MLPs neural implicit representation SLAM in Dynamic Environments(DMN-SLAM), which leverages neural radiance fields to facilitate local mapping in dynamic scenes.… read more here.
Keywords: slam; multi mlps; dmn slam; dynamic environments ... See more keywords
ImTooth: Neural Implicit Tooth for Dental Augmented Reality
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2023.3247459
Abstract: The combination of augmented reality (AR) and medicine is an important trend in current research. The powerful display and interaction capabilities of the AR system can assist doctors to perform more complex operations. Since the… read more here.
Keywords: system; neural implicit; model; imtooth neural ... See more keywords
Scalable and High-Quality Neural Implicit Representation for 3D Reconstruction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2025.3530452
Abstract: Various SDF-based neural implicit surface reconstruction methods have been proposed recently, and have demonstrated remarkable modeling capabilities. However, due to the global nature and limited representation ability of a single network, existing methods still suffer… read more here.
Keywords: high quality; representation; reconstruction; scalable high ... See more keywords
IPFNet: Implicit Primitive Fitting for Robust Point Cloud Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "Computer Graphics Forum"
DOI: 10.1111/cgf.70231
Abstract: The segmentation and fitting of geometric primitives from point clouds is a widely adopted approach for modelling the underlying geometric structure of objects in reverse engineering and numerous graphics applications. Existing methods either overlook the… read more here.
Keywords: segmentation; point; point cloud; neural implicit ... See more keywords
NeRSI: Neural Implicit Representations for 5D Seismic Data Interpolation
Sign Up to like & getrecommendations! Published in 2024 at "GEOPHYSICS"
DOI: 10.1190/geo2023-0767.1
Abstract: Due to challenging field operations and resource constraints, seismic data acquisition often requires coping with missing traces. Interpolation algorithms are crucial for reconstructing these missing traces to enable improved subsurface analysis and interpretation. While deep… read more here.
Keywords: implicit representations; reconstruction; seismic data; nersi neural ... See more keywords
Accurate Fruit Phenotype Reconstruction via Geometry-Smooth Neural Implicit Surface
Sign Up to like & getrecommendations! Published in 2024 at "Agriculture"
DOI: 10.3390/agriculture14122325
Abstract: Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environments, while valuable, falls short in understanding plant growth under real-world conditions. Emerging sensor and… read more here.
Keywords: method; accurate fruit; reconstruction; geometry ... See more keywords
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
Sign Up to like & getrecommendations! Published in 2024 at "Bioengineering"
DOI: 10.3390/bioengineering11121227
Abstract: Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray invasive coronary angiography (ICA) remains the most widely adopted imaging modality for CVD assessment during real-time cardiac interventions. However, it is often difficult… read more here.
Keywords: tree reconstruction; coronary artery; neural implicit; geometry ... See more keywords