[논문] JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction
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Paper Review/3D Human Reconstruction
GitHub - yukangcao/JIFFContribute to yukangcao/JIFF development by creating an account on GitHub.github.com  JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human ReconstructionThis paper addresses the problem of single view 3D human reconstruction. Recent implicit function based methods have shown impressive results, but they fail to recover fine face details i..
[논문] PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
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Paper Review/3D Human Reconstruction
Abstractimage-based 3D human shape estimation은 Deep Neural Network의 등장으로 급격히 발전했다. 하지만, real world setting에서는 input image의 detail을 살리는데 어려움을 겪는데, 이 논문의 저자들은 이러한 어려움의 원인을 2가지 conflicting requirements에서 찾았다.Accurate predictions require large context, but precise predictions require high resolutionDue to memory limitations in current hardware, previous approaches tend to take low resolution images ..
[논문] PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
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Paper Review/3D Human Reconstruction
https://shunsukesaito.github.io/PIFu/AbstractWhat if PIFu?An implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object→ End-to-End deep learning method for digitizing highly detailed clothed humans that can infer both 3D surface and texture매우 복잡한 shape [hairstyles, clothing …] 뿐만 아니라 이것들의 변화나 변형도 unified way로 digitize할 수 있다PIFu는 사람의 ..