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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.24666 |
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| _version_ | 1866908995695935488 |
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| author | Kao, Chih-Chen Makowski, Grzegorz Fujieda, Shin Harada, Takahiro |
| author_facet | Kao, Chih-Chen Makowski, Grzegorz Fujieda, Shin Harada, Takahiro |
| contents | We extend the Locally-Subdivided Neural Intersection Function (LSNIF) to support parameterized deformable and animated geometry. Our approach introduces a rest-space and deformed-space formulation inspired by meshless rendering, allowing ray samples to be mapped back to a canonical space where a single neural network represents geometry consistently across poses without retraining. To maintain accuracy under deformation-aware training, we incorporate scale-invariant distance regression, uncertainty-weighted multi-task learning, and a hybrid positional-grid encoding. The resulting method preserves the compactness and efficiency of LSNIF while enabling robust neural intersection prediction for dynamic geometry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_24666 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Voxel Deformation-Aware Neural Intersection Function Kao, Chih-Chen Makowski, Grzegorz Fujieda, Shin Harada, Takahiro Graphics We extend the Locally-Subdivided Neural Intersection Function (LSNIF) to support parameterized deformable and animated geometry. Our approach introduces a rest-space and deformed-space formulation inspired by meshless rendering, allowing ray samples to be mapped back to a canonical space where a single neural network represents geometry consistently across poses without retraining. To maintain accuracy under deformation-aware training, we incorporate scale-invariant distance regression, uncertainty-weighted multi-task learning, and a hybrid positional-grid encoding. The resulting method preserves the compactness and efficiency of LSNIF while enabling robust neural intersection prediction for dynamic geometry. |
| title | Voxel Deformation-Aware Neural Intersection Function |
| topic | Graphics |
| url | https://arxiv.org/abs/2604.24666 |