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Titlebook: Advances in Computer Graphics; 40th Computer Graphi Bin Sheng,Lei Bi,Daniel Thalmann Conference proceedings 2024 The Editor(s) (if applicab

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樓主: Retina
41#
發(fā)表于 2025-3-28 15:42:41 | 只看該作者
42#
發(fā)表于 2025-3-28 21:46:59 | 只看該作者
Begriff und Inhalt des Eigentumsrechts methods, which begin with a high resolution point cloud from a laser range-finder, our approach begins with triangle mesh data, as from a Microsoft HoloLens. It generates two types of floor plans, a “pen-and-ink” style that preserves details and a drafting-style that reduces clutter. It processes t
43#
發(fā)表于 2025-3-28 23:10:19 | 只看該作者
Bürgerliches Recht IV. Sachenrecht face with accurate pose or expression as reference face, meanwhile retain the identity as the source face. To achieve this goal, we propose an Adaptive-Guidance Generative Adversarial Network (AD-GAN) for accurate face reenactment. Unlike previous methods that control GANs by either directly employ
44#
發(fā)表于 2025-3-29 05:02:16 | 只看該作者
Erwerb und übertragung des Pfandrechtscombining FactorVAE and .-VAE concepts, incorporating the Ranger optimizer and Dropout layers. The goal is to learn disentangled representations that capture essential facial expression factors, like the neutral expression, while ensuring independence between different expression dimensions. This ap
45#
發(fā)表于 2025-3-29 09:04:09 | 只看該作者
46#
發(fā)表于 2025-3-29 14:51:03 | 只看該作者
47#
發(fā)表于 2025-3-29 16:12:37 | 只看該作者
Begriff und Inhalt des Eigentumsrechts low-resolution (LR) faces with degradation similar to those in real-world scenarios, most approaches learn a deterministic mapping from HR faces to LR faces. However, these deterministic models fail to model the various degradation of real-world LR faces, which limits the performance of the followi
48#
發(fā)表于 2025-3-29 21:54:32 | 只看該作者
49#
發(fā)表于 2025-3-30 01:59:41 | 只看該作者
50#
發(fā)表于 2025-3-30 08:04:18 | 只看該作者
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