Viewing profile — taesiri

would be sick with meta glasses; just look at broken things, draws what you mean, and get help fixing it. not just fixing but anything

for overly represented concepts, like popular brands, it seems that the model “ignores” the details once it detects that the overall shapes or patterns are similar. Opening up the …

State-of-the-art Vision Language Models achieve 100% accuracy counting on images of popular subjects (e.g. knowing that the Adidas logo has 3 stripes and a dog has 4 legs) but are …

tldr; We find that GenAI can satisfy 1/3 of everyday image editing requests, while 2/3 of the requests are better handled by human image editors.

Abstract: An Achilles heel of Large Language Models (LLMs) is their tendency to hallucinate non-factual statements. A response mixed of factual and non-factual statements poses a c…

Abstract: Large Multimodal Models (LMMs) exhibit major shortfalls when interpreting images and, by some measures, have poorer spatial cognition than small children or animals. Desp…

All frontier models, (o1, o1-pro, QVQ, gemini-flash-thinking) score exactly 0% on main questions of this benchmark.

This paper examines the limitations of current vision-based language models, such as GPT-4 and Sonnet 3.5, in performing low-level vision tasks. Despite their high scores on numero…

Not one place, but there are some people tweeting about new papers daily (@arankomatsuzaki, @_akhaliq, @omarsar0) other people summarizing papers (@davisblalock, @rasbt). Latent Sp…

Coool! Would be nice to have an option to send commands to an LLM and show the results to the "user"! :D