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Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

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樓主: 武士精神
31#
發(fā)表于 2025-3-27 00:15:16 | 只看該作者
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis,ti-view video data only, zero-shot real-world generalization experiments show promising results in multiple domains, including robotics, object permanence, and driving environments. We believe our framework can potentially unlock powerful applications in rich dynamic scene understanding, perception
32#
發(fā)表于 2025-3-27 01:54:22 | 只看該作者
,Distribution Alignment for?Fully Test-Time Adaptation with?Dynamic Online Data Streams, for TTA. This loss guides the distributions of test-time features back towards the source distributions, which ensures compatibility with the well-trained source model and eliminates the pitfalls associated with conflicting optimization objectives. Moreover, we devise a domain shift detection mecha
33#
發(fā)表于 2025-3-27 07:28:45 | 只看該作者
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-72690-3978-3-031-72691-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
34#
發(fā)表于 2025-3-27 12:37:50 | 只看該作者
35#
發(fā)表于 2025-3-27 15:51:50 | 只看該作者
36#
發(fā)表于 2025-3-27 20:03:06 | 只看該作者
37#
發(fā)表于 2025-3-27 23:42:34 | 只看該作者
38#
發(fā)表于 2025-3-28 05:16:43 | 只看該作者
39#
發(fā)表于 2025-3-28 09:35:49 | 只看該作者
40#
發(fā)表于 2025-3-28 14:06:17 | 只看該作者
https://doi.org/10.1007/978-3-642-41893-8se a method to synthesize noise on existing noisy images when noise-free images are not available. Our noise model is straightforward to calibrate and provides notable improvements over competing noise models on downstream tasks.
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