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Found 5 papers, 5 papers with code
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation
Spatial intelligence is a critical component of embodied AI, promoting robots to understand and interact with their environments.
Ranked #1 on
Spatial Reasoning
on EmbSpatial-Bench
Learning from Pattern Completion: Self-supervised Controllable Generation
Inspired by the neural mechanisms that may contribute to the brain's associative power, specifically the cortical modularization and hippocampal pattern completion, here we propose a self-supervised controllable generation (SCG) framework.
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
Geometry and color information provided by the point clouds are both crucial for 3D scene understanding.
Ranked #1 on
Unsupervised 3D Semantic Segmentation
on ScanNetV2
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
This motivates us to learn 3D representations by sharing the merits of both paradigms, which is non-trivial due to the pattern difference between the two paradigms.
Ranked #1 on
Zero-Shot Transfer 3D Point Cloud Classification
on ModelNet10
(using extra training data)
Language-Assisted 3D Feature Learning for Semantic Scene Understanding
To guide 3D feature learning toward important geometric attributes and scene context, we explore the help of textual scene descriptions.
