1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback
Elior Benarous, Yilun Du, Heng Yang
This paper presents SPIE: a novel approach for semantic and structural post-training of instruction-based image editing diffusion models, addressing key challenges in alignment wit…
cs.CV2023★ 1 cited
Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization
Elior Benarous, Sotiris Anagnostidis, Luca Biggio +1
Recent advancements in deep learning have been primarily driven by the use of large models trained on increasingly vast datasets. While neural scaling laws have emerged to predict…