2024
Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding
ECCV 2024poster
"Large foundation models have recently emerged as a prominent focus of interest, attaining superior performance in widespread scenarios. Due to the scarcity of 3D data, many efforts have been made to adapt pre-trained transformers from vision to 3D domains. However, such 2D-to-3D approaches are stil…