45 citations · 135 across the 16 of their papers we have counts for
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cs.CV2024
Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models
Oz Zafar, Yuval Cohen, Lior Wolf +1
Accurately controlling object count in text-to-image generation remains a key challenge. Supervised methods often fail, as training data rarely covers all count variations. Methods…
cs.CL2024
LaMI: Augmenting Large Language Models via Late Multi-Image Fusion
Guy Yariv, Idan Schwartz, Yossi Adi +1
Commonsense reasoning often requires both textual and visual knowledge, yet Large Language Models (LLMs) trained solely on text lack visual grounding (e.g., "what color is an emper…