ACRO 发表于 2025-3-21 19:22:25

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水槽 发表于 2025-3-21 22:03:24

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重画只能放弃 发表于 2025-3-22 00:52:56

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谁在削木头 发表于 2025-3-22 06:38:52

Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resols a deep hierarchical latent variable model and is more suitable for modeling the complex conditional distribution. We also reveal the notable connection with the noise injection of StyleGAN. Furthermore, we train multiple degradation generators to improve the mode coverage and apply . for ease of t

Conquest 发表于 2025-3-22 11:56:59

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有抱负者 发表于 2025-3-22 15:48:57

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有抱负者 发表于 2025-3-22 17:59:29

Semi-supervised Domain Adaptation by Similarity Based Pseudo-Label Injectionels are gradually injected into the labeled target dataset over the course of training. Specifically, we use a temperature scaled cosine similarity measure to assign a soft pseudo-label to the unlabeled target samples. Additionally, we compute an exponential moving average of the soft pseudo-labels

门窗的侧柱 发表于 2025-3-23 00:50:45

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反话 发表于 2025-3-23 05:22:56

Third Time’s the Charm? Image and Video Editing with StyleGAN3ose an encoding scheme trained solely on aligned data, yet can still invert unaligned images. Finally, we introduce a novel video inversion and editing workflow that leverages the capabilities of a fine-tuned StyleGAN3 generator to reduce texture sticking and expand the field of view of the edited v

宫殿般 发表于 2025-3-23 07:13:01

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查看完整版本: Titlebook: Computer Vision – ECCV 2022 Workshops; Tel Aviv, Israel, Oc Leonid Karlinsky,Tomer Michaeli,Ko Nishino Conference proceedings 2023 The Edit