arXiv Machine Learning By Josef Lindl, Mariana Chaves, Damien Garreau

Inpainting Insights: Elevating Visual XAI with Photorealistic Perturbations

Read the original on arXiv Machine Learning →

arXiv:2607. 15482v1 Announce Type: new Abstract: The increasing complexity of state-of-the-art machine learning models has made their behavior progressively harder to interpret, spurring rapid advancements in the field of eXplainable Artificial Intelligence (XAI).

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arXiv AI
Jul 8

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance

arXiv:2509. 23876v3 Announce Type: replace-cross Abstract: Autoregressive (AR) models based on next-scale prediction have emerged as a powerful tool for image generation, but they face a critical weakness: information inconsistencies between patches across timesteps introduced by progressive resolution scaling.

By Ky Dan Nguyen, Hoang Lam Tran, Anh-Dung Dinh, Daochang Liu, Weidong Cai, Xiuying Wang, Chang Xu