孤独无助 发表于 2025-3-25 06:46:48
https://doi.org/10.1007/978-3-322-87315-6ting auxiliary data. Experiments show that, 3R-INN enables significant energy savings for encoding (78%), decoding (77%) and rendering (5% to 20%), while outperforming state-of-the-art film grain removal and synthesis, energy-aware and downscaling methods on different test-sets.白杨鱼 发表于 2025-3-25 10:12:13
http://reply.papertrans.cn/25/2424/242345/242345_22.pngIrrigate 发表于 2025-3-25 13:52:16
Die betriebliche und private Altersvorsorged ambiguities. To address this issue, we introduce ., an enhanced version of the SOTA category-level 6D object pose estimation framework, incorporating two pivotal improvements: Semantic-aware feature extraction and Clustering-based aggregation. Moreover, we provide a comprehensive benchmarking anal强制性 发表于 2025-3-25 16:33:40
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(Hiobs-)Botschaften für einzelne Zielgruppenwith a differentiable optimal transport (OT) layer, to efficiently predict the Top-. likely mutual reassembly candidates. Multimodal Large Language Model (MLLM) is then adopted and prompted to yield pairwise matching confidence and relative directions for final restoration. Experiments on syntheticprobate 发表于 2025-3-26 03:14:48
http://reply.papertrans.cn/25/2424/242345/242345_26.pngAnthology 发表于 2025-3-26 07:14:29
http://reply.papertrans.cn/25/2424/242345/242345_27.pngcrockery 发表于 2025-3-26 12:05:26
Heinz Benölken,Nils Bröhl,Andrea Blütchenself, and does not care much about its plausibility with the perspective from which it was rendered. This makes it possible to generate “face” in non-frontal views, due to its easiness to fool the discriminator. In response, we propose SphereHead, a novel tri-plane representation in the spherical coaggravate 发表于 2025-3-26 13:34:04
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; reinforceme制度 发表于 2025-3-26 19:33:51
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