oxidant
发表于 2025-3-28 17:24:43
https://doi.org/10.1007/978-3-642-49689-9ask. Starting with images that facilitate depth prediction due to the absence of unfavorable factors, we systematically generate new, user-defined scenes with a comprehensive set of challenges and associated depth information. This is achieved by leveraging cutting-edge text-to-image diffusion model
懦夫
发表于 2025-3-28 22:02:11
https://doi.org/10.1007/978-3-642-49689-9 through various query styles. However, current retrieval tasks predominantly focus on text-query retrieval exploration, leading to limited retrieval query options and potential ambiguity or bias in user intention. In this paper, we propose the Style-Diversified Query-Based Image Retrieval task, whi
CRASS
发表于 2025-3-28 23:55:01
Die Stellungnahme des Kranken zur Krankheitone dominate the other? Our analysis of a pretrained image diffusion model that integrates gated self-attention into the U-Net reveals that spatial grounding often outweighs textual grounding due to the . flow from gated self-attention to cross-attention. We demonstrate that such bias can be signifi
POWER
发表于 2025-3-29 04:47:25
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Camouflage
发表于 2025-3-29 11:17:16
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在前面
发表于 2025-3-29 11:46:02
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Receive
发表于 2025-3-29 18:35:31
Computer Vision – ECCV 2024978-3-031-73337-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
parsimony
发表于 2025-3-29 20:04:53
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集合
发表于 2025-3-30 02:05:39
978-3-031-73336-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
推崇
发表于 2025-3-30 07:56:27
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