| 1 |
EdMCGS: Event-Driven Markov Chain Gaussian Splatting for Extreme-Low-Frame-Rate Dynamic Scene Reconstruction |
提出EdMCGS以解决极低帧率动态场景重建问题 |
gaussian splatting splatting scene reconstruction |
✅ |
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| 2 |
CVT-GS: Learning to Simplify 3D Gaussian Splatting with Centroidal Voronoi Tessellation |
提出CVT-GS以解决3D高斯点简化问题 |
3D gaussian splatting 3DGS gaussian splatting |
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| 3 |
GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting |
提出GoDeep以解决无注释开放词汇3D场景理解问题 |
scene understanding open-vocabulary open vocabulary |
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| 4 |
From Coordinates to Candidate Regions: Temporal Change Localization via Region Selection in Remote Sensing Multimodal LLMs |
提出区域选择方法以解决遥感图像中的时变变化定位问题 |
scene understanding large language model multimodal |
✅ |
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| 5 |
PhysFlow: Physics-Aware Optical Flow for Motion Controllable Video Generation |
提出PhysFlow以解决视频生成中的物理一致性问题 |
optical flow physically plausible motion representation |
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| 6 |
Towards Embodied Air-Ground Cooperative Object Search: Benchmark, Dataset and Agentic Method |
提出AGOS-Agent以解决城市环境中的空地协同物体搜索问题 |
scene understanding embodied AI |
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| 7 |
Segment Any Motion with Radar: Robust Multimodal Moving-Object Segmentation and Tracking |
提出RGBTR-Motion基准与SAM-Radar框架以解决多模态运动目标分割与跟踪问题 |
optical flow multimodal |
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| 8 |
Spheriverse: 3D Scene Understanding from Spherical Observations in the Wild |
提出Spheriverse以解决3D场景理解中的球面观测问题 |
scene understanding semantic mapping semantic map |
✅ |
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| 9 |
Prior-free relative 6D pose estimation of multiple object instances |
提出无先验相对6D姿态估计方法以解决多实例物体定位问题 |
6D pose estimation multimodal |
✅ |
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| 10 |
FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute |
提出FIRE3D以实现快速的3D场景重建 |
scene reconstruction |
✅ |
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