| 1 |
GauStudio: A Modular Framework for 3D Gaussian Splatting and Beyond |
提出GauStudio框架以提升3D高斯点云建模与渲染能力 |
3D gaussian splatting 3DGS gaussian splatting |
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| 2 |
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation |
提出FlowDepth以解决动态物体引起的深度估计不匹配问题 |
depth estimation monocular depth optical flow |
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| 3 |
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians |
提出CoherentGS以解决稀疏视图合成问题 |
monocular depth 3D gaussian splatting 3DGS |
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| 4 |
IVLMap: Instance-Aware Visual Language Grounding for Consumer Robot Navigation |
提出IVLMap以解决实例级和属性级导航问题 |
semantic mapping semantic map VLMAP |
✅ |
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| 5 |
SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing |
提出SA-GS以解决高频场景下的抗锯齿问题 |
gaussian splatting splatting |
✅ |
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| 6 |
TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering |
提出TOGS以解决4D DSA渲染质量与速度不足的问题 |
gaussian splatting splatting |
✅ |
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| 7 |
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation |
提出OV-Uni3DETR以解决3D目标检测中的开放词汇问题 |
open-vocabulary open vocabulary |
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| 8 |
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames |
提出新方法以解决神经辐射场中的运动模糊问题 |
NeRF neural radiance field |
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| 9 |
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation |
提出Mesh2NeRF以解决3D生成任务中的辐射场获取问题 |
NeRF neural radiance field |
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| 10 |
Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction |
提出Total-Decom以解决3D场景重建中的对象分解问题 |
3D reconstruction scene reconstruction |
✅ |
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| 11 |
Uncertainty-Aware Deep Video Compression with Ensembles |
提出不确定性感知深度视频压缩模型以解决压缩效率问题 |
optical flow motion estimation |
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| 12 |
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM |
提出GlORIE-SLAM以解决RGB-only SLAM的全局一致性问题 |
monocular depth |
✅ |
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| 13 |
Efficient 3D Instance Mapping and Localization with Neural Fields |
提出3DIML框架以解决3D实例分割与定位问题 |
scene understanding |
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