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pro vyhledávání: '"Mofayezi, Mohammadreza"'
Human face generation and editing represent an essential task in the era of computer vision and the digital world. Recent studies have shown remarkable progress in multi-modal face generation and editing, for instance, using face segmentation to guid
Externí odkaz:
http://arxiv.org/abs/2402.02369
This study investigates the robustness of image classifiers to text-guided corruptions. We utilize diffusion models to edit images to different domains. Unlike other works that use synthetic or hand-picked data for benchmarking, we use diffusion mode
Externí odkaz:
http://arxiv.org/abs/2304.02963
Autor:
Saadatnejad, Saeed, Rasekh, Ali, Mofayezi, Mohammadreza, Medghalchi, Yasamin, Rajabzadeh, Sara, Mordan, Taylor, Alahi, Alexandre
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlusions. To address these challenges, we propose a diffusion-based appro
Externí odkaz:
http://arxiv.org/abs/2210.05669