Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Shul, Asaf"'
Autor:
Winter, Daniel, Shul, Asaf, Cohen, Matan, Berman, Dana, Pritch, Yael, Rav-Acha, Alex, Hoshen, Yedid
This paper introduces a tuning-free method for both object insertion and subject-driven generation. The task involves composing an object, given multiple views, into a scene specified by either an image or text. Existing methods struggle to fully mee
Externí odkaz:
http://arxiv.org/abs/2412.08645
The rapid growth of neural network models shared on the internet has made model weights an important data modality. However, this information is underutilized as the weights are uninterpretable, and publicly available models are disorganized. Inspire
Externí odkaz:
http://arxiv.org/abs/2405.18432
Dataset distillation aims to compress a dataset into a much smaller one so that a model trained on the distilled dataset achieves high accuracy. Current methods frame this as maximizing the distilled classification accuracy for a budget of K distille
Externí odkaz:
http://arxiv.org/abs/2403.12040