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Found 4 papers, 1 papers with code
Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors
Precise manipulation that is generalizable across scenes and objects remains a persistent challenge in robotics.
VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations
We present Visual-Language Fields (VL-Fields), a neural implicit spatial representation that enables open-vocabulary semantic queries.
Inference and Learning for Generative Capsule Models
In this paper we specify a generative model for such data, and derive a variational algorithm for inferring the transformation of each model object in a scene, and the assignments of observed parts to the objects.
Inference for Generative Capsule Models
Capsule networks (see e. g. Hinton et al., 2018) aim to encode knowledge and reason about the relationship between an object and its parts.
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