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Simon Chen

3 accepted papers

2021

Learning To Recover 3D Scene Shape From a Single Image

CVPR 2021poster

Despite significant progress in monocular depth estimation in the wild, recent state-of-the-art methods cannot be used to recover accurate 3D scene shape due to an unknown depth shift induced by shift-invariant reconstruction losses used in mixed-data depth prediction training, and possible unknown…

Cited by 284PDFcodeScholar
2021

SSH: A Self-Supervised Framework for Image Harmonization

ICCV 2021poster

Image harmonization aims to improve the quality of image compositing by matching the "appearance"" (e.g., color tone, brightness and contrast) between foreground and background images. However, collecting large-scale annotated datasets for this task requires complex professional retouching. Instead,…

Cited by 96PDFcodeScholar