5 papers · 1 filter
SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art
Sagi Eppel, Alona Strugatski
The ability to connect visual patterns with the processes that form them represents one of the deepest forms of visual understanding. Textures of clouds and waves, the growth of ci…
Coding the Visual World: From Image to Simulation Using Vision Language Models
Sagi Eppel
The ability to construct mental models of the world is a central aspect of understanding. Similarly, visual understanding can be viewed as the ability to construct a representative…
Shape and Texture Recognition in Large Vision-Language Models
Sagi Eppel, Mor Bismut, Alona Faktor-Strugatski
Shapes and textures are the basic building blocks of visual perception. The ability to identify shapes regardless of orientation, texture, or context, and to recognize textures and…
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…
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…