EXTOL
发表于 2025-3-25 03:48:15
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subacute
发表于 2025-3-25 10:58:42
Alternative Energy in the Middle Eastace and the distance of basis scene points to the human mesh. We further introduce a global scene representation learned from a signed distance function (SDF) volume to ensure coherence between the global scene representation and the explicit constraint from the mutual distance. We develop a pipelin
Lineage
发表于 2025-3-25 15:15:09
https://doi.org/10.1057/9781137264589ews are limited. To mitigate these issues, FSGS introduces the synthesis of virtual views to replicate the parallax effect experienced during training, coupled with geometric regularization applied across both actual training and synthesized viewpoints. This strategy ensures that new Gaussians are p
下级
发表于 2025-3-25 19:17:03
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Congregate
发表于 2025-3-25 23:57:03
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口音在加重
发表于 2025-3-26 04:06:07
U. Von Schenck,C. Bender-Götze,B. Koletzkoe camera, we propose a novel framework to generate complete 3D human shapes. We introduce a novel module to generate 2D multi-view normal maps of the person registered with the target input image. The module consists of body part-based reference selection and body part-based registration. The genera
改良
发表于 2025-3-26 08:17:41
https://doi.org/10.1007/978-3-642-80280-5different quality based on both the semantic information and the geometric complexity of the scene. Leveraging a semantic SLAM pipeline for pose and semantic estimation, we achieve comparable or superior results to state-of-the-art methods on synthetic and real-world data, while significantly reduci
Feedback
发表于 2025-3-26 11:57:59
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Statins
发表于 2025-3-26 14:28:35
Egidio Dansero,Giacomo Pettenati and language. Finally, we propose to handle inherent ambiguities in class labels by instructing the model with language guidance in the form of class definitions. We evaluate SemiVL on 4 semantic segmentation datasets, where it significantly outperforms previous semi-supervised methods. For instanc
苦笑
发表于 2025-3-26 17:45:29
https://doi.org/10.1007/978-3-319-90409-2ecognize novel classes. Second, we integrate a temporal modeling module into CLIP’s vision encoder to effectively model the spatio-temporal dynamics of video concepts as well as propose a novel regularized finetuning technique to ensure strong open vocabulary classification performance in the video