3 papers
cs.CV2025
Vector Quantized Feature Fields for Fast 3D Semantic Lifting
George Tang, Aditya Agarwal, Weiqiao Han +2
We generalize lifting to semantic lifting by incorporating per-view masks that indicate relevant pixels for lifting tasks. These masks are determined by querying corresponding mult…
cs.CV2025
Segment Any Mesh
George Tang, William Zhao, Logan Ford +2
We propose Segment Any Mesh, a novel zero-shot mesh part segmentation method that overcomes the limitations of shape analysis-based, learning-based, and contemporary approaches. Ou…
cs.CV2024
Efficient 3D Instance Mapping and Localization with Neural Fields
George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba
We tackle the problem of learning an implicit scene representation for 3D instance segmentation from a sequence of posed RGB images. Towards this, we introduce 3DIML, a novel frame…