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We study a very challenging task, human image com- pletion, which tries to recover the human body part with a reasonable human shape from the corrupted ...
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We study a very challenging task, human image com- pletion, which tries to recover the human body part with a reasonable human shape from the corrupted ...
We study a very challenging task, human image completion, which tries to recover the human body part with a reasonable human shape from the corrupted region ...
We study a very challenging task, human image completion, which tries to recover the human body part with a reasonable human shape from the corrupted region ...
Test. The inference codes is splited in to four stages for evaluating the memory bank, structure completion, texture completion and the whole completion process ...
Prior Based Human Completion. Supplemental Material. Zibo Zhao1. Wen Liu1. Yanyu ... In this section, we first compare our method with other prior based methods.
Mar 24, 2024 · The completion of large occluded human body images poses a unique challenge for general image completion methods. The complex shape variations ...
Prior Based Human Completion [pdf], Human completion. 2021, IJCAI 2021, Context-Aware Image Inpainting with Learned Semantic Priors [pdf] [code]. 2021, IJCAI ...
In both approaches, the learned prior is then used together with other losses in an optimization-based framework that aims at finding plausi- ble human meshes.