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Sagi Eppel

5 papers hereh-index 211 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedShape and Texture Recognition in Large Vision-Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CV2024

Do large language vision models understand 3D shapes?

Sagi Eppel

Large vision language models (LVLM) are the leading A.I approach for achieving a general visual understanding of the world. Models such as GPT, Claude, Gemini, and LLama can use im…

cs.CV2024

Vastextures: Vast repository of textures and PBR materials extracted from real-world images using unsupervised methods

Sagi Eppel

Vastextures is a vast repository of 500,000 textures and PBR materials extracted from real-world images using an unsupervised process. The extracted materials and textures are extr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.