TUM-RGBD
PulseAugur coverage of TUM-RGBD — every cluster mentioning TUM-RGBD across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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MVOFormer Transformer Boosts Monocular Visual Odometry Robustness
Researchers have introduced MVOFormer, a new transformer-based framework designed to enhance monocular visual odometry (MVO) for autonomous navigation. This model integrates geometric motion cues with semantic object pr…
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DiskChunGS enables large-scale 3D Gaussian SLAM via disk memory management
Researchers have developed DiskChunGS, a novel 3D Gaussian Splatting SLAM system designed to overcome GPU memory limitations for large-scale 3D reconstructions. By employing an out-of-core approach, the system stores in…
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Triangle Splatting SLAM uses differentiable triangles for 3D mapping
Researchers have introduced Triangle Splatting SLAM, a novel dense RGB-D SLAM system that utilizes differentiable triangles for 3D map representation. This system builds upon the success of 3D Gaussian Splatting by empl…
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RADIO-ViPE enables open-vocabulary semantic SLAM from monocular video
Researchers have developed RADIO-ViPE, a novel semantic SLAM system capable of open-vocabulary grounding in dynamic environments using only monocular RGB video. This system integrates multi-modal embeddings from foundat…
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PoseFM uses Flow Matching for robust monocular visual odometry
Researchers have introduced PoseFM, a novel framework that reframes monocular visual odometry as a generative task using Flow Matching. This approach models camera motion as a distribution, allowing for uncertainty esti…