3D Gaussian Splatting for Real-Time Radiance Field Rendering[Müller 2022] Müller, T., Evans, A., Schied, C. and Keller, A., 2022. Instant neural graphics primitives with a multiresolution hash encoding [Hedman 2018] Hedman, P., Philip, J., Price, T., Frahm, J.M., Drettakis, G. and Brostow, G., 2018. Deep blendingrepo-sam.inria.frAbstractRadiance Field method : 여러 장의 이미지나 비디오로 novel-view synthesi..

https://shunsukesaito.github.io/PIFuHD/https://www.youtube.com/watch?v=uEDqCxvF5ycAbstractimage-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 limita..

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 ..