| 1 |
EvFlow-GS: Event Enhanced Motion Deblurring with Optical Flow for 3D Gaussian Splatting |
EvFlow-GS:利用事件相机与光流增强的3D高斯溅射运动去模糊 |
3D gaussian splatting 3DGS 3D reconstruction |
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| 2 |
Flow4DGS-SLAM: Optical Flow-Guided 4D Gaussian Splatting SLAM |
提出光流引导的4D高斯溅射SLAM,解决动态环境下SLAM重建难题 |
3D gaussian splatting 3DGS gaussian splatting |
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| 3 |
PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement |
PAGaS:像素对齐的单自由度高斯溅射用于深度优化 |
stereo depth 3D reconstruction gaussian splatting |
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| 4 |
NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting |
提出神经正则化方法NRGS,提升3D语义高斯溅射的鲁棒性与准确性 |
gaussian splatting splatting foundation model |
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| 5 |
ReLIC-SGG: Relation Lattice Completion for Open-Vocabulary Scene Graph Generation |
提出ReLIC-SGG框架,解决开放词汇场景图生成中关系不完整问题。 |
open-vocabulary open vocabulary |
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| 6 |
CAGE-SGG: Counterfactual Active Graph Evidence for Open-Vocabulary Scene Graph Generation |
提出基于反事实主动图证据的CAGE-SGG框架,解决开放词汇场景图生成中的可靠性问题。 |
open-vocabulary open vocabulary |
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| 7 |
Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation |
提出基于边缘AI和单目视觉的月球车导航方案,适用于真实环境部署 |
depth estimation monocular depth metric depth |
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| 8 |
Holo360D: A Large-Scale Real-World Dataset with Continuous Trajectories for Advancing Panoramic 3D Reconstruction and Beyond |
提出Holo360D以解决全景3D重建中的轨迹不连续问题 |
3D reconstruction |
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| 9 |
Long-tail Internet photo reconstruction |
提出MegaDepth-X数据集和稀疏采样策略,提升长尾互联网照片三维重建效果 |
3D reconstruction foundation model |
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| 10 |
Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain |
RAIL-BENCH:铁路领域首个感知学习基准测试套件,促进自动驾驶列车发展 |
visual odometry |
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| 11 |
GenMatter: Perceiving Physical Objects with Generative Matter Models |
GenMatter:提出基于生成物质模型的物理对象感知方法,统一解决多种场景下的运动分割问题。 |
scene understanding |
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