| 1 |
SRGS: Super-Resolution 3D Gaussian Splatting |
提出SRGS框架以解决3D高斯点云超分辨率问题 |
3D gaussian splatting 3DGS gaussian splatting |
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| 2 |
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks |
提出高效的3D高分辨率生成对抗网络解码器以解决NeRF渲染挑战 |
3D gaussian splatting 3DGS gaussian splatting |
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| 3 |
AbsGS: Recovering Fine Details for 3D Gaussian Splatting |
提出AbsGS以解决3D Gaussian Splatting中的细节恢复问题 |
3D gaussian splatting gaussian splatting splatting |
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| 4 |
Plug-and-Play Acceleration of Occupancy Grid-based NeRF Rendering using VDB Grid and Hierarchical Ray Traversal |
提出基于VDB网格和分层光线遍历的OG加速方法以提升NeRF渲染效率 |
NeRF neural radiance field occupancy grid |
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| 5 |
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes |
提出高效的高质量自适应表面重建方法以解决无界场景中的挑战 |
3D gaussian splatting 3DGS gaussian splatting |
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| 6 |
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction |
提出PyTorchGeoNodes以解决3D形状重建问题 |
3D reconstruction gaussian splatting splatting |
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| 7 |
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans |
提出RapidVol以解决2D超声图像重建3D体积问题 |
3D reconstruction neural radiance field implicit representation |
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| 8 |
CMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario |
提出CMU-Flownet以解决点云场景流估计中的遮挡问题 |
scene flow |
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| 9 |
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network |
提出PreGSU以解决自动驾驶场景理解问题 |
scene understanding |
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| 10 |
Watch Your Step: Optimal Retrieval for Continual Learning at Scale |
提出选择性检索策略以优化大规模持续学习 |
open-vocabulary open vocabulary |
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| 11 |
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation |
提出ECLAIR数据集以推动点云语义分割研究 |
scene understanding |
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| 12 |
CorrespondentDream: Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences |
提出CorrespondentDream以解决3D几何一致性问题 |
NeRF |
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| 13 |
1st Place Solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction |
提出基于Pixel-NeRF的稀疏视图重建方法以解决三维重建问题 |
NeRF |
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