most citedOne-shot recognition of any material anywhere using contrastive learning with physics-based rendering

2 citations · 2 across the 2 of their papers we have counts for

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cs.CV2024

Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data

Sagi Eppel, Jolina Li, Manuel Drehwald +1

Visual recognition of materials and their states is essential for understanding the physical world, from identifying wet regions on surfaces or stains on fabrics to detecting infec…

cs.CV2022★ 2 cited

One-shot recognition of any material anywhere using contrastive learning with physics-based rendering

Manuel S. Drehwald, Sagi Eppel, Jolina Li +2

Visual recognition of materials and their states is essential for understanding most aspects of the world, from determining whether food is cooked, metal is rusted, or a chemical r…