Author

Ming Cheng

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#machine learning May 2026

CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage

Experiments show that COVER improves the coverage-conflict trade-off, making CM-EVS a sparse, compact, and auditable RGB-D-pose resource for geometry-consistent panoramic 3D learning.

Jia-Le Liu, Jun-Gang Li, Jieming Yu et al. · arXiv.org · 1 citation

Preprint Aug 2026

Seed2GS: Camera-Free, Training-Free Object Extraction from 3D Gaussian Scenes via a Single Reference-View Grounding

Seed2GS is presented, which achieves the highest reported LERF-MASK accuracy without original reconstruction cameras or scene-specific representation training, and its key insight is to separate target identity from 3D coverage.

Zong-Jiang Ding, Yu-Dong Gao, Jia-Le Liu et al. · 0 citations