| 1 |
Semantic Is Enough: Only Semantic Information For NeRF Reconstruction |
提出仅基于语义信息的NeRF重建方法以提升3D场景理解 |
NeRF neural radiance field scene understanding |
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| 2 |
PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling |
提出PKU-DyMVHumans以解决动态人类建模问题 |
NeRF neural radiance field human motion |
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| 3 |
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field |
提出CG-SLAM以解决高效RGB-D SLAM中的不确定性问题 |
gaussian splatting splatting NeRF |
✅ |
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| 4 |
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction |
提出latentSplat以解决快速通用的3D重建问题 |
3D reconstruction splatting |
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| 5 |
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes |
提出Entity-NeRF以解决城市场景中动态物体去除问题 |
NeRF neural radiance field |
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| 6 |
Exploring Accurate 3D Phenotyping in Greenhouse through Neural Radiance Fields |
提出基于神经辐射场的精准植物表型方法以解决温室环境下的表型挑战 |
NeRF neural radiance field |
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| 7 |
Self-Supervised Multi-Frame Neural Scene Flow |
提出多帧点云场景流估计方法以提升自驾车的泛化能力 |
scene flow |
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| 8 |
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields |
提出基于神经全光函数的逆向渲染方法以解决光滑物体重建问题 |
NeRF neural radiance field |
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| 9 |
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans |
提出AutoInst以解决LiDAR 3D扫描的实例分割问题 |
scene understanding |
✅ |
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| 10 |
Configurable Holography: Towards Display and Scene Adaptation |
提出可配置全息技术以解决显示与场景适应性问题 |
depth estimation |
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