享乐主义者
发表于 2025-3-25 05:35:34
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Obverse
发表于 2025-3-25 08:04:01
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GLUE
发表于 2025-3-25 15:20:12
https://doi.org/10.1057/9781137466242 a real distribution of 2D poses. Training does not require correspondence between the 2D inputs to either the generator or the discriminator. We apply our approach to the task of 3D human pose estimation. Results on Human3.6M dataset demonstrates that our approach outperforms many previous supervised and weakly supervised approaches.
离开真充足
发表于 2025-3-25 19:47:53
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CHART
发表于 2025-3-25 20:26:28
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attenuate
发表于 2025-3-26 02:50:34
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BRINK
发表于 2025-3-26 08:19:59
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chiropractor
发表于 2025-3-26 08:34:18
3D Human Body Reconstruction from a Single Image via Volumetric Regressionrks, images or segmentation masks. Additionally, non-visible parts, either self-occluded or otherwise, are still reconstructed, which is not the case with depth map regression. We present results that show that our method can handle both pose variation and detailed reconstruction given appropriate datasets for training.
Nebulous
发表于 2025-3-26 14:26:59
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boisterous
发表于 2025-3-26 18:58:13
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