Papers by Nitzan Bitton Guetta
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation (2025.findings-emnlp)
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Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton, Brian Gordon, Michal Sokolik, Nitzan Bitton Guetta, Almog Gueta, Royi Rassin, Dani Lischinski, Idan Szpektor
| Challenge: | Existing methods assess only one aspect of the task, misalign with human judgments or rely on costly API-based evaluation. |
| Approach: | RefVNLI evaluates textual alignment and subject preservation in a single run. |
| Outcome: | RefVNLI outperforms or matches existing baselines across multiple benchmarks and subject categories. |