CRATE
发表于 2025-3-30 09:33:20
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NATAL
发表于 2025-3-30 12:26:56
https://doi.org/10.1057/9780230597686t to address this challenge by using objectness regions to guide the pose estimation problem rather than explicit semantic object detections. We propose Pose Refiner Network (PoserNet) a light-weight Graph Neural Network to refine the approximate pair-wise relative camera poses. PoserNet exploits as
verdict
发表于 2025-3-30 18:27:01
The Economics of Transaction Costss require accurate prior camera poses. Although approaches for jointly recovering the radiance field and camera pose exist, they rely on a cumbersome coarse-to-fine auxiliary positional embedding to ensure good performance. We present Gaussian Activated Neural Radiance Fields (GARF), a new positiona
Genetics
发表于 2025-3-31 00:09:48
The Economics of Transaction Costsbased on surface splatting. Our framework models the contribution of a point to the rendered image as a probability distribution. We derive an unbiased approximative gradient for the rendering function within this model. To efficiently evaluate the proposed sample estimate, we introduce a tree-based
NOMAD
发表于 2025-3-31 04:04:25
The Economics of Transaction CostsWhile traditional shape-from-shadow (SfS) algorithms reconstruct geometry from shadows, they assume a fixed scanning setup and fail to generalize to complex scenes. Neural rendering algorithms, on the other hand, rely on photometric consistency between RGB images, but largely ignore physical cues su
Parameter
发表于 2025-3-31 05:17:40
Elements of Industrial Organizationelled data set by leveraging a pre-trained model that has been trained on a labelled data set containing disjoint yet related categories. Apart from discovering novel classes, we also aim at preserving the ability of the model to recognize previously seen base categories. Inspired by rehearsal-based
assail
发表于 2025-3-31 11:37:41
Computer Vision – ECCV 2022978-3-031-19827-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
Customary
发表于 2025-3-31 13:59:54
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横截,横断
发表于 2025-3-31 18:10:47
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Militia
发表于 2025-4-1 00:38:08
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