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Found 2 papers, 1 papers with code
ODIN: A Single Model for 2D and 3D Perception
The gap in performance between methods that consume posed images versus post-processed 3D point clouds has fueled the belief that 2D and 3D perception require distinct model architectures.
Ranked #1 on
3D Instance Segmentation
on ScanNet200
Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models
We propose Generation to Simulation (Gen2Sim), a method for scaling up robot skill learning in simulation by automating generation of 3D assets, task descriptions, task decompositions and reward functions using large pre-trained generative models of language and vision.
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