ETHER 发表于 2025-3-27 00:15:28
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https://doi.org/10.1007/978-3-642-78392-0ditional LoRA block that enables zero-shot control. LoRAdapter is an efficient and powerful approach to condition text-to-image diffusion models, which enables fine-grained control conditioning during generation and outperforms recent state-of-the-art approaches..Project page: compvis.github.io/LoRAdapter/monogamy 发表于 2025-3-27 08:19:39
Conference proceedings 2025uter Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcemeOphthalmoscope 发表于 2025-3-27 13:27:51
Spaltet Arbeitslosigkeit die Gesellschaft?ese methods mainly explore angular features in a hyperspherical space, often resulting in entangled inter-class features due to dense angular data across many classes. In this paper, a new field of feature exploration is proposed known as . which enhances class discrimination by exploring both angulKidney-Failure 发表于 2025-3-27 17:32:16
Klassengesellschaft ohne KlassenDespite these advances, the generalization capabilities of recent image editing approaches remain constrained. In response to this challenge, our study introduces a novel image editing framework with enhanced generalization robustness by boosting in-context learning capability and unifying languageNebulous 发表于 2025-3-27 21:05:07
Klassengesellschaft ohne Klassencations. However, current approaches often struggle with the dynamic nature of self-occlusion of hands and intra-occlusion with interacting objects. To address this challenge, this paper proposes the Denoising Adaptive Graph Transformer, HandDAGT, for hand pose estimation. The proposed HandDAGT leve哺乳动物 发表于 2025-3-28 01:52:08
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Medikamentöse Behandlung von Insomnienames point clouds as functions in a reproducing kernel Hilbert space (RKHS), leveraging SE(3)-equivariant features for direct feature space registration. A novel RKHS distance metric is proposed, offering reliable performance amidst noise, outliers, and asymmetrical data. An unsupervised training apoptic-nerve 发表于 2025-3-28 07:26:13
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Hanns Hippius,D. Naber,Eckart Rütherroposing two novel methods: Distribution Matching for Efficient compression (.) and Network Interactive Compression via Knowledge Exchange and Learning (.). . employs foundation models as embedding kernels for efficient distribution matching, leveraging maximum mean discrepancy to facilitate effecti