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users [2025/03/30 16:51] badmin |
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| ^ Title ^ Author(s) ^ Affiliation ^ Year ^ Description ^ Image ^ | ^ Title ^ Author(s) ^ Affiliation ^ Year ^ Description ^ Image ^ | ||
| + | | A polyhedral reconstruction of a 3D object from a chain code and a low-density point cloud | Tapia-Dueñas et al. | John Carroll University | 2025 | A novel 3D object representation. The first step in producing it is voxelization. | {{:tapia2025.png?nolink&256|}}| | ||
| + | | Cesium Tiles for High-realism Simulation and Comparing SLAM Results in Corresponding Virtual and Real-world Environments | Beam et al. | UNC Charlotte | 2024 | Using a simulated environment to predict algorithm results in the real world. Uses the binvox format | {{:beam2024.png?nolink&256|}}| | ||
| + | | Construction of voxel-based Portunus haanii phantom and its absorbed fractions and specific absorbed fractions calculation based on Monte Carlo simulations | Zhang et al. | Nanjing University | 2023 | Using a voxel model for radiation dose measurements in non-human organisms (organs were voxelized separately using binvox) | {{:zhang2023.png?nolink&256|}} | | ||
| | Modeling 3D Shapes by Reinforcement Learning | Lin et al. | University of Hong Kong | 2020 | Using AI to learn 3D modelling steps from 2D depth images. Models voxelized with binvox were used in evaluation steps (but this is not described anywhere unfortunately) | {{ :lin2020_small.png?nolink |}}| | | Modeling 3D Shapes by Reinforcement Learning | Lin et al. | University of Hong Kong | 2020 | Using AI to learn 3D modelling steps from 2D depth images. Models voxelized with binvox were used in evaluation steps (but this is not described anywhere unfortunately) | {{ :lin2020_small.png?nolink |}}| | ||
| | Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer | Chen et al. | NVIDIA | 2019 | Models voxelized with binvox were used for evaluation | {{:chen2019.png?nolink&256 |}}| | | Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer | Chen et al. | NVIDIA | 2019 | Models voxelized with binvox were used for evaluation | {{:chen2019.png?nolink&256 |}}| | ||
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| | A boundary-representation method for designing whole-body radiation dosimetry models | Xu et al. | Rensselaer Polytechnic Institute | 2007 | A project to adopt the BREP modeling approach to systematically design whole-body radiation dosimetry models | {{:xu2007.png?nolink&256|}} | | | A boundary-representation method for designing whole-body radiation dosimetry models | Xu et al. | Rensselaer Polytechnic Institute | 2007 | A project to adopt the BREP modeling approach to systematically design whole-body radiation dosimetry models | {{:xu2007.png?nolink&256|}} | | ||
| | Skeleton-based Hierarchical Shape Segmentation | Reniers and Telea | University of Eindhoven | 2006 | 3D component segmentation using curve skeletons of 3D models voxelized with binvox | {{ :reniers2006.png?nolink|}} | | | Skeleton-based Hierarchical Shape Segmentation | Reniers and Telea | University of Eindhoven | 2006 | 3D component segmentation using curve skeletons of 3D models voxelized with binvox | {{ :reniers2006.png?nolink|}} | | ||
| + | | Real-time Automatic 3D Scene Generation from Natural Language Voice and Text Descriptions | Seversky and Yin | SUNY Binghamton | 2006 | Automatic scene generation using voice and text | {{:seversky2006.png?nolink&256|}}| | ||
users.1743349881.txt.gz · Last modified: 2025/03/30 16:51 by badmin
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