Search Results for author: Simon Chen

Found 4 papers, 3 papers with code

Towards Domain-agnostic Depth Completion

1 code implementation29 Jul 2022 Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Chunhua Shen

Our method leverages a data driven prior in the form of a single image depth prediction network trained on large-scale datasets, the output of which is used as an input to our model.

Depth Completion Depth Estimation +2

SSH: A Self-Supervised Framework for Image Harmonization

1 code implementation ICCV 2021 Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang

Image harmonization aims to improve the quality of image compositing by matching the "appearance" (\eg, color tone, brightness and contrast) between foreground and background images.

Data Augmentation

Learning to Recover 3D Scene Shape from a Single Image

1 code implementation CVPR 2021 Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen

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 camera focal length.

 Ranked #1 on Monocular Depth Estimation on NYU-Depth V2 (absolute relative error metric, using extra training data)

3D Scene Reconstruction Depth Prediction +3

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