| 1 |
Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping |
提出对象中心3D高斯溅射方法,用于草莓植株重建与表型分析 |
3D gaussian splatting 3DGS gaussian splatting |
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| 2 |
Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency |
提出基于特征对齐和潜在一致性的单目内窥镜绝对深度估计方法 |
depth estimation monocular depth |
✅ |
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| 3 |
From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground Truth |
提出一种基于学习的MLS点云不确定性评估框架,无需大量真值数据。 |
point cloud |
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| 4 |
EvtSlowTV -- A Large and Diverse Dataset for Event-Based Depth Estimation |
EvtSlowTV:用于事件相机深度估计的大规模多样化数据集 |
depth estimation |
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| 5 |
Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization |
提出基于对象检测和图匹配网络的跨视角无人机定位方法,解决异构图像匹配问题。 |
localization |
✅ |
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| 6 |
A Novel Grouping-Based Hybrid Color Correction Algorithm for Color Point Clouds |
提出一种基于分组的混合颜色校正算法,用于彩色点云的颜色一致性校正。 |
point cloud |
✅ |
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| 7 |
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization |
Cycle-Sync:通过增强的循环一致性同步实现稳健的全局相机位姿估计 |
pose estimation |
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| 8 |
3D Point Cloud Object Detection on Edge Devices for Split Computing |
针对边缘设备,提出基于Split Computing的3D点云目标检测方法,降低计算负担。 |
point cloud |
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| 9 |
Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows? |
探索欧拉角在Normalizing Flows姿态估计中的有效性,对比复杂参数化模型。 |
pose estimation |
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| 10 |
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data |
提出无监督学习方法以解决工业缺陷检测问题 |
localization feature matching |
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| 11 |
LiteVoxel: Low-memory Intelligent Thresholding for Efficient Voxel Rasterization |
提出LiteVoxel以解决稀疏体素光栅化中的低频内容不足问题 |
NeRF scene reconstruction |
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| 12 |
PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing |
PercHead:提出基于感知的头部模型,用于单图像3D头部重建与编辑 |
gaussian splatting |
✅ |
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| 13 |
OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control |
提出OLATverse数据集以解决真实世界物体渲染的局限性 |
novel view synthesis |
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| 14 |
Can Foundation Models Revolutionize Mobile AR Sparse Sensing? |
利用Foundation Model革新移动AR稀疏感知,提升几何图像扭曲与3D重建 |
scene reconstruction |
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