Search Results for author: Xiaochen Hu

Found 2 papers, 0 papers with code

InvGAN: Invertible GANs

no code implementations8 Dec 2021 Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu

Our \textbf{InvGAN}, short for Invertible GAN, successfully embeds real images to the latent space of a high quality generative model.

Data Augmentation Image Inpainting +1

FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second

no code implementations ICCV 2019 David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero

Counterintuitively, the main loss which drives FAX is on per-pixel surface normals instead of per-pixel depth, making it possible to estimate detailed body geometry without any depth supervision.

Translation

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